From 59f2feffce51911b7ee6092a5ea10f7241a754e7 Mon Sep 17 00:00:00 2001
From: GitHub Action <41898282+github-actions[bot]@users.noreply.github.com>
Date: Wed, 17 Apr 2024 22:24:56 +0000
Subject: [PATCH] confirm internship status [ci skip]
---
.all-contributorsrc | 45 -
.github/FUNDING.yml | 12 -
.github/ISSUE_TEMPLATE/bug_report.md | 38 -
.github/ISSUE_TEMPLATE/feature_request.md | 20 -
.github/stale.yml | 18 -
.github/workflows/deploy-docker-tag.yml | 40 -
.github/workflows/deploy-image.yml | 31 -
.github/workflows/deploy.yml | 42 -
_data/venues.yml => .nojekyll | 0
404.html | 10 +-
Gemfile | 23 -
_bibliography/papers.bib | 134 -
_config.yml | 357 -
_data/coauthors.yml | 34 -
_data/cv.yml | 97 -
_data/repositories.yml | 12 -
_includes/cv/list.html | 5 -
_includes/cv/map.html | 8 -
_includes/cv/nested_list.html | 14 -
_includes/cv/time_table.html | 59 -
_includes/figure.html | 36 -
_includes/footer.html | 25 -
_includes/head.html | 31 -
_includes/header.html | 119 -
_includes/metadata.html | 200 -
_includes/news.html | 31 -
_includes/pagination.html | 17 -
_includes/projects.html | 36 -
_includes/projects_horizontal.html | 40 -
_includes/repository/repo.html | 14 -
_includes/repository/repo_user.html | 6 -
_includes/scripts/analytics.html | 18 -
_includes/scripts/bootstrap.html | 3 -
_includes/scripts/jquery.html | 2 -
_includes/scripts/masonry.html | 6 -
_includes/scripts/mathjax.html | 12 -
_includes/scripts/misc.html | 14 -
_includes/scripts/progressBar.html | 80 -
_includes/selected_papers.html | 5 -
_includes/social.html | 93 -
_layouts/about.html | 66 -
_layouts/archive-category.html | 27 -
_layouts/archive-tag.html | 27 -
_layouts/archive-year.html | 27 -
_layouts/bib.html | 199 -
_layouts/cv.html | 35 -
_layouts/default.html | 38 -
_layouts/distill.html | 124 -
_layouts/none.html | 1 -
_layouts/page.html | 16 -
_layouts/post.html | 61 -
_news/announcement_1.md | 7 -
_news/announcement_10.md | 7 -
_news/announcement_2.md | 7 -
_news/announcement_3.md | 7 -
_news/announcement_4.md | 7 -
_news/announcement_5.md | 7 -
_news/announcement_6.md | 7 -
_news/announcement_7.md | 7 -
_news/announcement_8.md | 7 -
_news/announcement_9.md | 8 -
_pages/about.md | 42 -
_pages/cv.md | 8 -
_pages/dropdown.md | 13 -
_pages/dropdown/index.html | 1 +
_pages/projects.md | 58 -
_pages/publications.md | 18 -
_pages/repositories.md | 30 -
_pages/teaching.md | 12 -
_plugins/external-posts.rb | 36 -
_plugins/hideCustomBibtex.rb | 15 -
...nowledge-Base-Relation-Prediction.markdown | 204 -
_projects/1_project.md | 80 -
_projects/2_project.md | 80 -
_projects/3_project.md | 81 -
_projects/4_project.md | 80 -
_projects/5_project.md | 80 -
_projects/6_project.md | 80 -
_sass/_base.scss | 714 -
_sass/_distill.scss | 126 -
_sass/_layout.scss | 50 -
_sass/_themes.scss | 65 -
_sass/_variables.scss | 38 -
assets/css/main.css | 3 +
assets/css/main.css.map | 1 +
assets/css/main.scss | 15 -
assets/img/1-1400.webp | Bin 0 -> 59658 bytes
assets/img/1-480.webp | Bin 0 -> 23150 bytes
assets/img/1-800.webp | Bin 0 -> 59658 bytes
assets/img/10-1400.webp | Bin 0 -> 31262 bytes
assets/img/10-480.webp | Bin 0 -> 12604 bytes
assets/img/10-800.webp | Bin 0 -> 31262 bytes
assets/img/11-1400.webp | Bin 0 -> 52656 bytes
assets/img/11-480.webp | Bin 0 -> 23566 bytes
assets/img/11-800.webp | Bin 0 -> 52656 bytes
assets/img/12-1400.webp | Bin 0 -> 6342 bytes
assets/img/12-480.webp | Bin 0 -> 3236 bytes
assets/img/12-800.webp | Bin 0 -> 6342 bytes
assets/img/2-1400.webp | Bin 0 -> 47992 bytes
assets/img/2-480.webp | Bin 0 -> 25188 bytes
assets/img/2-800.webp | Bin 0 -> 47992 bytes
assets/img/3-1400.webp | Bin 0 -> 29256 bytes
assets/img/3-480.webp | Bin 0 -> 14168 bytes
assets/img/3-800.webp | Bin 0 -> 29256 bytes
assets/img/4-1400.webp | Bin 0 -> 20262 bytes
assets/img/4-480.webp | Bin 0 -> 8804 bytes
assets/img/4-800.webp | Bin 0 -> 20262 bytes
assets/img/5-1400.webp | Bin 0 -> 20368 bytes
assets/img/5-480.webp | Bin 0 -> 9546 bytes
assets/img/5-800.webp | Bin 0 -> 20368 bytes
assets/img/6-1400.webp | Bin 0 -> 40440 bytes
assets/img/6-480.webp | Bin 0 -> 15694 bytes
assets/img/6-800.webp | Bin 0 -> 40440 bytes
assets/img/7-1400.webp | Bin 0 -> 4248 bytes
assets/img/7-480.webp | Bin 0 -> 1998 bytes
assets/img/7-800.webp | Bin 0 -> 4248 bytes
assets/img/8-1400.webp | Bin 0 -> 12272 bytes
assets/img/8-480.webp | Bin 0 -> 5710 bytes
assets/img/8-800.webp | Bin 0 -> 12272 bytes
assets/img/9-1400.webp | Bin 0 -> 25740 bytes
assets/img/9-480.webp | Bin 0 -> 10534 bytes
assets/img/9-800.webp | Bin 0 -> 25740 bytes
assets/img/Toy_example_ACL2k19-1400.webp | Bin 0 -> 27664 bytes
assets/img/Toy_example_ACL2k19-480.webp | Bin 0 -> 16188 bytes
assets/img/Toy_example_ACL2k19-800.webp | Bin 0 -> 27664 bytes
assets/img/al-folio-preview-1400.webp | Bin 0 -> 20624 bytes
assets/img/al-folio-preview-480.webp | Bin 0 -> 8004 bytes
assets/img/al-folio-preview-800.webp | Bin 0 -> 20624 bytes
assets/img/architecture_ACL2k19-1400.webp | Bin 0 -> 22862 bytes
assets/img/architecture_ACL2k19-480.webp | Bin 0 -> 11800 bytes
assets/img/architecture_ACL2k19-800.webp | Bin 0 -> 22862 bytes
assets/img/attention-1400.webp | Bin 0 -> 25926 bytes
assets/img/attention-480.webp | Bin 0 -> 14874 bytes
assets/img/attention-800.webp | Bin 0 -> 25926 bytes
assets/img/code-screenshot-1400.webp | Bin 0 -> 25418 bytes
assets/img/code-screenshot-480.webp | Bin 0 -> 13630 bytes
assets/img/code-screenshot-800.webp | Bin 0 -> 25418 bytes
assets/img/distill-screenshot-1400.webp | Bin 0 -> 26622 bytes
assets/img/distill-screenshot-480.webp | Bin 0 -> 14676 bytes
assets/img/distill-screenshot-800.webp | Bin 0 -> 26622 bytes
assets/img/gat_layer_ACL2019-1400.webp | Bin 0 -> 29552 bytes
assets/img/gat_layer_ACL2019-480.webp | Bin 0 -> 15328 bytes
assets/img/gat_layer_ACL2019-800.webp | Bin 0 -> 29552 bytes
assets/img/hulkAttention-1400.webp | Bin 0 -> 50024 bytes
assets/img/hulkAttention-480.webp | Bin 0 -> 29486 bytes
assets/img/hulkAttention-800.webp | Bin 0 -> 50024 bytes
assets/img/math-screenshot-1400.webp | Bin 0 -> 27084 bytes
assets/img/math-screenshot-480.webp | Bin 0 -> 14160 bytes
assets/img/math-screenshot-800.webp | Bin 0 -> 27084 bytes
assets/img/photos-screenshot-1400.webp | Bin 0 -> 26808 bytes
assets/img/photos-screenshot-480.webp | Bin 0 -> 14090 bytes
assets/img/photos-screenshot-800.webp | Bin 0 -> 26808 bytes
assets/img/prof_pic-1400.webp | Bin 0 -> 102400 bytes
assets/img/prof_pic-480.webp | Bin 0 -> 50936 bytes
assets/img/prof_pic-800.webp | Bin 0 -> 102400 bytes
assets/img/projects-screenshot-1400.webp | Bin 0 -> 24838 bytes
assets/img/projects-screenshot-480.webp | Bin 0 -> 14244 bytes
assets/img/projects-screenshot-800.webp | Bin 0 -> 24838 bytes
assets/img/publications-screenshot-1400.webp | Bin 0 -> 21604 bytes
assets/img/publications-screenshot-480.webp | Bin 0 -> 11546 bytes
assets/img/publications-screenshot-800.webp | Bin 0 -> 21604 bytes
assets/js/common.js | 10 +-
assets/js/dark_mode.js | 9 +-
assets/js/distillpub/overrides.js | 25 +-
assets/js/distillpub/template.v2.js | 9314 +----------
assets/js/distillpub/transforms.v2.js | 13248 +---------------
assets/js/masonry.js | 13 +-
assets/js/theme.js | 65 +-
assets/js/zoom.js | 9 +-
bin/cibuild | 1 -
bin/deploy | 116 -
bin/docker_build_image.sh | 5 -
bin/docker_run.sh | 8 -
bin/dockerhub_run.sh | 8 -
.../index.html | 15 +
blog/2019/index.html | 1 +
blog/index.html | 101 +-
cv/index.html | 1 +
feed.xml | 15 +
index.html | 1 +
news/announcement_1/index.html | 1 +
news/announcement_10/index.html | 1 +
news/announcement_2/index.html | 1 +
news/announcement_3/index.html | 1 +
news/announcement_4/index.html | 1 +
news/announcement_5/index.html | 1 +
news/announcement_6/index.html | 1 +
news/announcement_7/index.html | 1 +
news/announcement_8/index.html | 1 +
news/announcement_9/index.html | 1 +
projects/1_project/index.html | 15 +
projects/2_project/index.html | 15 +
projects/3_project/index.html | 15 +
projects/4_project/index.html | 15 +
projects/5_project/index.html | 15 +
projects/6_project/index.html | 15 +
projects/index.html | 1 +
publications/index.html | 1 +
repositories/index.html | 1 +
robots.txt | 5 +-
sitemap.xml | 1 +
teaching/index.html | 1 +
202 files changed, 288 insertions(+), 27196 deletions(-)
delete mode 100644 .all-contributorsrc
delete mode 100644 .github/FUNDING.yml
delete mode 100644 .github/ISSUE_TEMPLATE/bug_report.md
delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.md
delete mode 100644 .github/stale.yml
delete mode 100644 .github/workflows/deploy-docker-tag.yml
delete mode 100644 .github/workflows/deploy-image.yml
delete mode 100644 .github/workflows/deploy.yml
rename _data/venues.yml => .nojekyll (100%)
delete mode 100644 Gemfile
delete mode 100644 _bibliography/papers.bib
delete mode 100644 _config.yml
delete mode 100644 _data/coauthors.yml
delete mode 100644 _data/cv.yml
delete mode 100644 _data/repositories.yml
delete mode 100644 _includes/cv/list.html
delete mode 100644 _includes/cv/map.html
delete mode 100644 _includes/cv/nested_list.html
delete mode 100644 _includes/cv/time_table.html
delete mode 100644 _includes/figure.html
delete mode 100644 _includes/footer.html
delete mode 100644 _includes/head.html
delete mode 100644 _includes/header.html
delete mode 100644 _includes/metadata.html
delete mode 100644 _includes/news.html
delete mode 100644 _includes/pagination.html
delete mode 100644 _includes/projects.html
delete mode 100644 _includes/projects_horizontal.html
delete mode 100644 _includes/repository/repo.html
delete mode 100644 _includes/repository/repo_user.html
delete mode 100644 _includes/scripts/analytics.html
delete mode 100644 _includes/scripts/bootstrap.html
delete mode 100644 _includes/scripts/jquery.html
delete mode 100644 _includes/scripts/masonry.html
delete mode 100644 _includes/scripts/mathjax.html
delete mode 100644 _includes/scripts/misc.html
delete mode 100644 _includes/scripts/progressBar.html
delete mode 100644 _includes/selected_papers.html
delete mode 100644 _includes/social.html
delete mode 100644 _layouts/about.html
delete mode 100644 _layouts/archive-category.html
delete mode 100644 _layouts/archive-tag.html
delete mode 100644 _layouts/archive-year.html
delete mode 100644 _layouts/bib.html
delete mode 100644 _layouts/cv.html
delete mode 100644 _layouts/default.html
delete mode 100644 _layouts/distill.html
delete mode 100644 _layouts/none.html
delete mode 100644 _layouts/page.html
delete mode 100644 _layouts/post.html
delete mode 100644 _news/announcement_1.md
delete mode 100644 _news/announcement_10.md
delete mode 100644 _news/announcement_2.md
delete mode 100644 _news/announcement_3.md
delete mode 100644 _news/announcement_4.md
delete mode 100644 _news/announcement_5.md
delete mode 100644 _news/announcement_6.md
delete mode 100644 _news/announcement_7.md
delete mode 100644 _news/announcement_8.md
delete mode 100644 _news/announcement_9.md
delete mode 100644 _pages/about.md
delete mode 100644 _pages/cv.md
delete mode 100644 _pages/dropdown.md
create mode 100644 _pages/dropdown/index.html
delete mode 100644 _pages/projects.md
delete mode 100644 _pages/publications.md
delete mode 100644 _pages/repositories.md
delete mode 100644 _pages/teaching.md
delete mode 100644 _plugins/external-posts.rb
delete mode 100644 _plugins/hideCustomBibtex.rb
delete mode 100644 _posts/2019-05-15-Knowledge-Base-Relation-Prediction.markdown
delete mode 100644 _projects/1_project.md
delete mode 100644 _projects/2_project.md
delete mode 100644 _projects/3_project.md
delete mode 100644 _projects/4_project.md
delete mode 100644 _projects/5_project.md
delete mode 100644 _projects/6_project.md
delete mode 100644 _sass/_base.scss
delete mode 100644 _sass/_distill.scss
delete mode 100644 _sass/_layout.scss
delete mode 100644 _sass/_themes.scss
delete mode 100644 _sass/_variables.scss
create mode 100644 assets/css/main.css
create mode 100644 assets/css/main.css.map
delete mode 100644 assets/css/main.scss
create mode 100644 assets/img/1-1400.webp
create mode 100644 assets/img/1-480.webp
create mode 100644 assets/img/1-800.webp
create mode 100644 assets/img/10-1400.webp
create mode 100644 assets/img/10-480.webp
create mode 100644 assets/img/10-800.webp
create mode 100644 assets/img/11-1400.webp
create mode 100644 assets/img/11-480.webp
create mode 100644 assets/img/11-800.webp
create mode 100644 assets/img/12-1400.webp
create mode 100644 assets/img/12-480.webp
create mode 100644 assets/img/12-800.webp
create mode 100644 assets/img/2-1400.webp
create mode 100644 assets/img/2-480.webp
create mode 100644 assets/img/2-800.webp
create mode 100644 assets/img/3-1400.webp
create mode 100644 assets/img/3-480.webp
create mode 100644 assets/img/3-800.webp
create mode 100644 assets/img/4-1400.webp
create mode 100644 assets/img/4-480.webp
create mode 100644 assets/img/4-800.webp
create mode 100644 assets/img/5-1400.webp
create mode 100644 assets/img/5-480.webp
create mode 100644 assets/img/5-800.webp
create mode 100644 assets/img/6-1400.webp
create mode 100644 assets/img/6-480.webp
create mode 100644 assets/img/6-800.webp
create mode 100644 assets/img/7-1400.webp
create mode 100644 assets/img/7-480.webp
create mode 100644 assets/img/7-800.webp
create mode 100644 assets/img/8-1400.webp
create mode 100644 assets/img/8-480.webp
create mode 100644 assets/img/8-800.webp
create mode 100644 assets/img/9-1400.webp
create mode 100644 assets/img/9-480.webp
create mode 100644 assets/img/9-800.webp
create mode 100644 assets/img/Toy_example_ACL2k19-1400.webp
create mode 100644 assets/img/Toy_example_ACL2k19-480.webp
create mode 100644 assets/img/Toy_example_ACL2k19-800.webp
create mode 100644 assets/img/al-folio-preview-1400.webp
create mode 100644 assets/img/al-folio-preview-480.webp
create mode 100644 assets/img/al-folio-preview-800.webp
create mode 100644 assets/img/architecture_ACL2k19-1400.webp
create mode 100644 assets/img/architecture_ACL2k19-480.webp
create mode 100644 assets/img/architecture_ACL2k19-800.webp
create mode 100644 assets/img/attention-1400.webp
create mode 100644 assets/img/attention-480.webp
create mode 100644 assets/img/attention-800.webp
create mode 100644 assets/img/code-screenshot-1400.webp
create mode 100644 assets/img/code-screenshot-480.webp
create mode 100644 assets/img/code-screenshot-800.webp
create mode 100644 assets/img/distill-screenshot-1400.webp
create mode 100644 assets/img/distill-screenshot-480.webp
create mode 100644 assets/img/distill-screenshot-800.webp
create mode 100644 assets/img/gat_layer_ACL2019-1400.webp
create mode 100644 assets/img/gat_layer_ACL2019-480.webp
create mode 100644 assets/img/gat_layer_ACL2019-800.webp
create mode 100644 assets/img/hulkAttention-1400.webp
create mode 100644 assets/img/hulkAttention-480.webp
create mode 100644 assets/img/hulkAttention-800.webp
create mode 100644 assets/img/math-screenshot-1400.webp
create mode 100644 assets/img/math-screenshot-480.webp
create mode 100644 assets/img/math-screenshot-800.webp
create mode 100644 assets/img/photos-screenshot-1400.webp
create mode 100644 assets/img/photos-screenshot-480.webp
create mode 100644 assets/img/photos-screenshot-800.webp
create mode 100644 assets/img/prof_pic-1400.webp
create mode 100644 assets/img/prof_pic-480.webp
create mode 100644 assets/img/prof_pic-800.webp
create mode 100644 assets/img/projects-screenshot-1400.webp
create mode 100644 assets/img/projects-screenshot-480.webp
create mode 100644 assets/img/projects-screenshot-800.webp
create mode 100644 assets/img/publications-screenshot-1400.webp
create mode 100644 assets/img/publications-screenshot-480.webp
create mode 100644 assets/img/publications-screenshot-800.webp
delete mode 100755 bin/cibuild
delete mode 100755 bin/deploy
delete mode 100755 bin/docker_build_image.sh
delete mode 100755 bin/docker_run.sh
delete mode 100755 bin/dockerhub_run.sh
create mode 100644 blog/2019/Knowledge-Base-Relation-Prediction/index.html
create mode 100644 blog/2019/index.html
create mode 100644 cv/index.html
create mode 100644 feed.xml
create mode 100644 index.html
create mode 100644 news/announcement_1/index.html
create mode 100644 news/announcement_10/index.html
create mode 100644 news/announcement_2/index.html
create mode 100644 news/announcement_3/index.html
create mode 100644 news/announcement_4/index.html
create mode 100644 news/announcement_5/index.html
create mode 100644 news/announcement_6/index.html
create mode 100644 news/announcement_7/index.html
create mode 100644 news/announcement_8/index.html
create mode 100644 news/announcement_9/index.html
create mode 100644 projects/1_project/index.html
create mode 100644 projects/2_project/index.html
create mode 100644 projects/3_project/index.html
create mode 100644 projects/4_project/index.html
create mode 100644 projects/5_project/index.html
create mode 100644 projects/6_project/index.html
create mode 100644 projects/index.html
create mode 100644 publications/index.html
create mode 100644 repositories/index.html
create mode 100644 sitemap.xml
create mode 100644 teaching/index.html
diff --git a/.all-contributorsrc b/.all-contributorsrc
deleted file mode 100644
index bc6a910..0000000
--- a/.all-contributorsrc
+++ /dev/null
@@ -1,45 +0,0 @@
-{
- "files": [
- "README.md"
- ],
- "imageSize": 100,
- "commit": false,
- "contributorsPerLine": 7,
- "projectName": "al-folio",
- "projectOwner": "alshedivat",
- "repoType": "github",
- "repoHost": "https://github.com",
- "badgeTemplate": "[core_contributors]: https://img.shields.io/badge/core_contributors-<%= contributors.length %>-orange.svg 'Number of core contributors'",
- "contributorTemplate": "\">\" width=\"<%= options.imageSize %>px;\" alt=\"\"/> <%= contributor.name %>",
- "skipCi": true,
- "contributors": [
- {
- "login": "alshedivat",
- "name": "Maruan",
- "avatar_url": "https://avatars.githubusercontent.com/u/2126561?v=4",
- "profile": "http://maruan.alshedivat.com",
- "contributions": [
- "design",
- "code"
- ]
- },
- {
- "login": "rohandebsarkar",
- "name": "Rohan Deb Sarkar",
- "avatar_url": "https://avatars.githubusercontent.com/u/50144004?v=4",
- "profile": "http://rohandebsarkar.github.io",
- "contributions": [
- "code"
- ]
- },
- {
- "login": "pourmand1376",
- "name": "Amir Pourmand",
- "avatar_url": "https://avatars.githubusercontent.com/u/32064808?v=4",
- "profile": "https://amirpourmand.ir",
- "contributions": [
- "code"
- ]
- }
- ]
-}
diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
deleted file mode 100644
index c78502f..0000000
--- a/.github/FUNDING.yml
+++ /dev/null
@@ -1,12 +0,0 @@
-# These are supported funding model platforms
-
-github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
-patreon: # Replace with a single Patreon username
-open_collective: # Replace with a single Open Collective username
-ko_fi: alshedivat
-tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
-community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
-liberapay: # Replace with a single Liberapay username
-issuehunt: # Replace with a single IssueHunt username
-otechie: # Replace with a single Otechie username
-custom: # ['https://www.buymeacoffee.com/TkFxuKo']
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
deleted file mode 100644
index 511f585..0000000
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ /dev/null
@@ -1,38 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-title: ''
-labels: bug
-assignees: ''
-
----
-
-**Acknowledge the following**
-- [ ] I carefully read and followed the [Getting Started](https://github.com/alshedivat/al-folio#getting-started) guide.
-- [ ] I read through [FAQ](https://github.com/alshedivat/al-folio#faq) and searched through the [past issues](https://github.com/alshedivat/al-folio/issues), none of which addressed my issue.
-- [ ] The issue I am raising is a potential bug in al-folio and not just a usage question. [For usage questions, please post in the [Discussions](https://github.com/alshedivat/al-folio/discussions) instead of raising an issue.]
-
-**Describe the bug**
-A clear and concise description of what the bug is.
-
-**To Reproduce**
-Steps to reproduce the behavior:
-1. Go to '...'
-2. Click on '....'
-3. Scroll down to '....'
-4. See error
-
-**Expected behavior**
-A clear and concise description of what you expected to happen.
-
-**Screenshots**
-If applicable, add screenshots to help explain your problem.
-
-**System (please complete the following information):**
- - OS: [e.g. iOS]
- - Browser (and its version) [e.g. chrome, safari]
- - Jekyll version [e.g. 3.8.7]
-- Ruby version [e.g. 2.6.5]
-
-**Additional context**
-Add any other context about the problem here.
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
deleted file mode 100644
index 11fc491..0000000
--- a/.github/ISSUE_TEMPLATE/feature_request.md
+++ /dev/null
@@ -1,20 +0,0 @@
----
-name: Feature request
-about: Suggest an idea for this project
-title: ''
-labels: enhancement
-assignees: ''
-
----
-
-**Is your feature request related to a problem? Please describe.**
-A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-
-**Describe the solution you'd like**
-A clear and concise description of what you want to happen.
-
-**Describe alternatives you've considered**
-A clear and concise description of any alternative solutions or features you've considered.
-
-**Additional context**
-Add any other context or screenshots about the feature request here.
diff --git a/.github/stale.yml b/.github/stale.yml
deleted file mode 100644
index 8ec2004..0000000
--- a/.github/stale.yml
+++ /dev/null
@@ -1,18 +0,0 @@
-# Number of days of inactivity before an issue becomes stale
-daysUntilStale: 60
-# Number of days of inactivity before a stale issue is closed
-daysUntilClose: 7
-# Issues with these labels will never be considered stale
-exemptLabels:
- - pinned
- - security
- - enhancement
-# Label to use when marking an issue as stale
-staleLabel: wontfix
-# Comment to post when marking an issue as stale. Set to `false` to disable
-markComment: >
- This issue has been automatically marked as stale because it has not had
- recent activity. It will be closed if no further activity occurs. Thank you
- for your contributions.
-# Comment to post when closing a stale issue. Set to `false` to disable
-closeComment: false
diff --git a/.github/workflows/deploy-docker-tag.yml b/.github/workflows/deploy-docker-tag.yml
deleted file mode 100644
index 3e6b6a3..0000000
--- a/.github/workflows/deploy-docker-tag.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-name: Docker Image CI (Upload Tag)
-
-on:
- push:
- tags:
- - 'v*'
-
-jobs:
-
- build:
-
- runs-on: ubuntu-latest
-
- steps:
- - name: Checkout
- uses: actions/checkout@v2
- - name: Buildx
- uses: docker/setup-buildx-action@v1
-
- -
- name: Docker meta
- id: meta
- uses: docker/metadata-action@v4
- with:
- images: amirpourmand/al-folio
-
- - name: Login
- uses: docker/login-action@v1
- with:
- username: ${{ secrets.DOCKER_USERNAME }}
- password: ${{ secrets.DOCKER_PASSWORD }}
-
- - name: Build and push
- uses: docker/build-push-action@v3
- with:
- context: .
- push: ${{ github.event_name != 'pull_request' }}
- tags: ${{ steps.meta.outputs.tags }}
- labels: ${{ steps.meta.outputs.labels }}
-
diff --git a/.github/workflows/deploy-image.yml b/.github/workflows/deploy-image.yml
deleted file mode 100644
index b747dfc..0000000
--- a/.github/workflows/deploy-image.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-name: Docker Image CI
-
-on:
- push:
- branches: [ master ]
-
-jobs:
-
- build:
-
- runs-on: ubuntu-latest
- if: github.repository_owner == 'alshedivat'
-
- steps:
- - name: Checkout
- uses: actions/checkout@v2
- - name: Buildx
- uses: docker/setup-buildx-action@v1
-
- - name: Login
- uses: docker/login-action@v1
- with:
- username: ${{ secrets.DOCKER_USERNAME }}
- password: ${{ secrets.DOCKER_PASSWORD }}
-
- - name: Build and push
- uses: docker/build-push-action@v2
- with:
- context: .
- push: true
- tags: amirpourmand/al-folio
diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
deleted file mode 100644
index 0301f08..0000000
--- a/.github/workflows/deploy.yml
+++ /dev/null
@@ -1,42 +0,0 @@
-name: deploy
-
-on:
- push:
- branches:
- - master
- - main
- pull_request:
- branches:
- - master
- - main
-
-jobs:
- deploy:
- runs-on: ubuntu-latest
- steps:
- - name: Checkout code
- uses: actions/checkout@v3
- - name: Setup Ruby
- uses: ruby/setup-ruby@v1
- with:
- ruby-version: '3.0.2'
- bundler-cache: true
- - name: Install deps
- run: |
- npm install -g mermaid.cli
- - name: Setup deploy options
- id: setup
- run: |
- git config --global user.name "GitHub Action"
- git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com"
- if [[ ${GITHUB_REF} = refs/pull/*/merge ]]; then # pull request
- echo "SRC_BRANCH=${GITHUB_HEAD_REF}" >> $GITHUB_OUTPUT
- echo "NO_PUSH=--no-push" >> $GITHUB_OUTPUT
- elif [[ ${GITHUB_REF} = refs/heads/* ]]; then # branch, e.g. master, source etc
- echo "SRC_BRANCH=${GITHUB_REF#refs/heads/}" >> $GITHUB_OUTPUT
- fi
- echo "DEPLOY_BRANCH=gh-pages" >> $GITHUB_OUTPUT
- - name: Deploy website
- run: yes | bash bin/deploy --verbose ${{ steps.setup.outputs.NO_PUSH }}
- --src ${{ steps.setup.outputs.SRC_BRANCH }}
- --deploy ${{ steps.setup.outputs.DEPLOY_BRANCH }}
diff --git a/_data/venues.yml b/.nojekyll
similarity index 100%
rename from _data/venues.yml
rename to .nojekyll
diff --git a/404.html b/404.html
index 0da4ee0..81f1955 100644
--- a/404.html
+++ b/404.html
@@ -1,9 +1 @@
----
-layout: page
-permalink: /404.html
-title: "Page not found"
-description: "Looks like there has been a mistake. Nothing exists here."
-redirect: true
----
-
-
You will be redirected to the main page within 3 seconds. If not redirected, please click here.
+ Page not found | Deepak Nathani
Page not found
Looks like there has been a mistake. Nothing exists here.
You will be redirected to the main page within 3 seconds. If not redirected, please click here.
\ No newline at end of file
diff --git a/Gemfile b/Gemfile
deleted file mode 100644
index 0cb2a8a..0000000
--- a/Gemfile
+++ /dev/null
@@ -1,23 +0,0 @@
-source 'https://rubygems.org'
-group :jekyll_plugins do
- gem 'jekyll'
- gem 'jekyll-archives'
- gem 'jekyll-diagrams'
- gem 'jekyll-email-protect'
- gem 'jekyll-feed'
- gem 'jekyll-imagemagick'
- gem 'jekyll-minifier'
- gem 'jekyll-paginate-v2'
- gem 'jekyll-scholar'
- gem 'jekyll-sitemap'
- gem 'jekyll-link-attributes'
- gem 'jekyll-twitter-plugin'
- gem 'jemoji'
- gem 'mini_racer'
- gem 'unicode_utils'
- gem 'webrick'
-end
-group :other_plugins do
- gem 'httparty'
- gem 'feedjira'
-end
diff --git a/_bibliography/papers.bib b/_bibliography/papers.bib
deleted file mode 100644
index c11c1d1..0000000
--- a/_bibliography/papers.bib
+++ /dev/null
@@ -1,134 +0,0 @@
----
----
----
----
-
-@string{aps = {American Physical Society,}}
-
-@inproceedings{DBLP:conf/icml/SharmaNK18,
- author = {Charu Sharma and
- Deepak Nathani and
- Manohar Kaul},
- title = {Solving Partial Assignment Problems using Random Clique Complexes},
- booktitle = {Proceedings of the 35th International Conference on Machine Learning,
- {ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
- 10-15, 2018},
- pages = {4593--4602},
- year = {2018},
- crossref = {DBLP:conf/icml/2018},
- url = {http://proceedings.mlr.press/v80/sharma18a.html},
- timestamp = {Fri, 13 Jul 2018 14:58:25 +0200},
- biburl = {https://dblp.org/rec/bib/conf/icml/SharmaNK18},
- bibsource = {dblp computer science bibliography, https://dblp.org},
- abstract="We present an alternate formulation of the partial assignment problem as matching random clique complexes, that are higher-order analogues of random graphs, designed to provide a set of invariants that better detect higher-order structure. The proposed method creates random clique adjacency matrices for each k-skeleton of the random clique complexes and matches them, taking into account each point as the affine combination of its geometric neighbourhood. We justify our solution theoretically, by analyzing the runtime and storage complexity of our algorithm along with the asymptotic behaviour of the quadratic assignment problem (QAP) that is associated with the underlying random clique adjacency matrices. Experiments on both synthetic and real-world datasets, containing severe occlusions and distortions, provide insight into the accuracy, efficiency, and robustness of our approach. We outperform diverse matching algorithms by a significant margin.",
- abbr="ICML",
- arxiv="arxiv:1907.01739",
- code="https://github.com/charusharma1991/RandomCliqueComplexes_ICML2018",
- blog="https://medium.com/@charusharma1991/graph-matching-partial-assignment-problem-using-random-clique-complexes-59aef2bf7b57"
-}
-
-@InProceedings{KBGAT2019,
- author = "Deepak Nathani and Jatin Chauhan and Charu Sharma and Manohar Kaul",
- title = "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs",
- booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
- year = "2019",
- publisher = "Association for Computational Linguistics",
- location = "Florence, Italy",
- abstract="The recent proliferation of knowledge graphs (KGs) coupled with incomplete or partial information, in the form of missing relations (links) between entities, has fueled a lot of research on knowledge base completion (also known as relation prediction). Several recent works suggest that convolutional neural network (CNN) based models generate richer and more expressive feature embeddings and hence also perform well on relation prediction. However, we observe that these KG embeddings treat triples independently and thus fail to cover the complex and hidden information that is inherently implicit in the local neighborhood surrounding a triple. To this effect, our paper proposes a novel attention based feature embedding that captures both entity and relation features in any given entity's neighborhood. Additionally, we also encapsulate relation clusters and multihop relations in our model. Our empirical study offers insights into the efficacy of our attention based model and we show marked performance gains in comparison to state of the art methods on all datasets.",
- abbr="ACL",
- arxiv="arxiv:1906.01195",
- blog="https://www.dnathani.net/blog/2019/Knowledge-Base-Relation-Prediction/",
- code="https://github.com/deepakn97/relationPrediction"
-}
-
-@inproceedings{Chauhan2020FEW-SHOT,
- title="Few-Shot Learning on Graphs via Super-Classes Based on Graph Spectral Measures",
- author="Jatin Chauhan and Deepak Nathani and Manohar Kaul",
- booktitle="International Conference on Learning Representations",
- year="2020",
- url="https://openreview.net/forum?id=Bkeeca4Kvr",
- abstract="We propose to study the problem of few shot graph classification in graph neural networks (GNNs) to recognize unseen classes, given limited labeled graph examples. Despite several interesting GNN variants being proposed recently for node and graph classification tasks, when faced with scarce labeled examples in the few shot setting, these GNNs exhibit significant loss in classification performance. Here, we present an approach where a probability measure is assigned to each graph based on the spectrum of the graphs normalized Laplacian. This enables us to accordingly cluster the graph base labels associated with each graph into super classes, where the Lp Wasserstein distance serves as our underlying distance metric. Subsequently, a super graph constructed based on the super classes is then fed to our proposed GNN framework which exploits the latent inter class relationships made explicit by the super graph to achieve better class label separation among the graphs. We conduct exhaustive empirical evaluations of our proposed method and show that it outperforms both the adaptation of state of the art graph classification methods to few shot scenario and our naive baseline GNNs. Additionally, we also extend and study the behavior of our method to semi supervised and active learning scenarios.",
- abbr="ICLR",
- arxiv="arxiv:2002.12815",
- code="https://github.com/chauhanjatin10/GraphsFewShot",
- blog="https://medium.com/@cs17btech11019/few-shot-learning-on-graphs-f6312a9e9de5"
-}
-
-@InProceedings{10.1007/978-3-030-36687-2_3,
- author="Sumit Bhatia and Bapi Chatterjee and Deepak Nathani and Manohar Kaul",
- title="A Persistent Homology Perspective to the Link Prediction Problem",
- booktitle="Complex Networks and Their Applications VIII",
- year="2020",
- publisher="Springer International Publishing",
- pages="27--39",
- abstract="Persistent homology is a powerful tool in Topological Data Analysis (TDA) to capture topological properties of data succinctly at different spatial resolutions. For graphical data, shape and structure of the neighborhood of individual data items (nodes) is an essential means of characterizing their properties. We propose the use of persistent homology methods to capture structural and topological properties of graphs and use it to address the problem of link prediction. We achieve encouraging results on nine different real-world datasets that attest to the potential of persistent homology based methods for network analysis.",
- pdf = "http://sumitbhatia.net/papers/complex-nets-19.pdf"
-}
-
-@inproceedings{krishna-etal-2022-shot,
- title = "Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings",
- author = "Krishna, Kalpesh and
- Nathani, Deepak and
- Garcia, Xavier and
- Samanta, Bidisha and
- Talukdar, Partha",
- booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
- month = may,
- year = "2022",
- address = "Dublin, Ireland",
- publisher = "Association for Computational Linguistics",
- url = "https://aclanthology.org/2022.acl-long.514",
- doi = "10.18653/v1/2022.acl-long.514",
- pages = "7439--7468",
- abstract = "Style transfer is the task of rewriting a sentence into a target style while approximately preserving content. While most prior literature assumes access to a large style-labelled corpus, recent work (Riley et al. 2021) has attempted {``}few-shot{''} style transfer using only 3-10 sentences at inference for style extraction. In this work we study a relevant low-resource setting: style transfer for languages where no style-labelled corpora are available. We notice that existing few-shot methods perform this task poorly, often copying inputs verbatim. We push the state-of-the-art for few-shot style transfer with a new method modeling the stylistic difference between paraphrases. When compared to prior work, our model achieves 2-3x better performance in formality transfer and code-mixing addition across seven languages. Moreover, our method is better at controlling the style transfer magnitude using an input scalar knob. We report promising qualitative results for several attribute transfer tasks (sentiment transfer, simplification, gender neutralization, text anonymization) all without retraining the model. Finally, we find model evaluation to be difficult due to the lack of datasets and metrics for many languages. To facilitate future research we crowdsource formality annotations for 4000 sentence pairs in four Indic languages, and use this data to design our automatic evaluations.",
- abbr = "ACL",
- pdf = "https://aclanthology.org/2022.acl-long.514.pdf",
- arxiv="arxiv:2110.07385",
- website="https://martiansideofthemoon.github.io/2022/03/03/acl22.html",
- slides="https://docs.google.com/presentation/d/1PGk58vWuHP3FBt8EBA_aN9juo3gPPObAVhshwS3Rpkg/edit?resourcekey=0-Ma8fX94-cdv4SHTIpsFajw#slide=id.p"
-}
-
-@inproceedings{10.1145/3503252.3531301,
- author = {Vardhan, Madhurima and Hegde, Narayan and Merugu, Srujana and Prabhat, Shantanu and Nathani, Deepak and Seneviratne, Martin and Muhammad, Nur and Reddy, Pranay and Lakshminarasimhan, Sriram and Singh, Rahul and Lorenzana, Karina and Motwani, Eshan and Talukdar, Partha and Raghuveer, Aravindan},
- title = {Walking with PACE - Personalized and Automated Coaching Engine},
- year = {2022},
- isbn = {9781450392075},
- publisher = {Association for Computing Machinery},
- address = {New York, NY, USA},
- url = {https://doi.org/10.1145/3503252.3531301},
- doi = {10.1145/3503252.3531301},
- abstract = {We design and implement a personalized and automated physical activity coaching engine, PACE, which uses the Fogg’s behavioral model (FBM) to engage users in mini-conversation based coaching sessions. It is a chat-based nudge assistant that can boost (encourage) and sense (ask) the motivation, ability and propensity of users to walk and help them in achieving their step count targets, similar to a human coach. We demonstrate the feasibility, effectiveness and acceptability of PACE by directly comparing to human coaches in a Wizard-of-Oz deployment study with 33 participants over 21 days. We tracked coach-participant conversations, step counts and qualitative survey feedback. Our findings indicate that the PACE framework strongly emulated human coaching with no significant differences in the overall number of active days, step count and engagement patterns. The qualitative user feedback suggests that PACE cultivated a coach-like experience, offering barrier resolution via motivational and educational support. We use traditional human-computer interaction approaches, to interrogate the conversational data and report positive PACE-participant interaction patterns with respect to addressal, disclosure, collaborative target settings, and reflexivity. As a post-hoc analysis, we annotated the conversation logs from the human coaching arm and trained machine learning (ML) models on these data sets to predict the next boost (AUC 0.73 ± 0.02) and sense (AUC 0.83 ± 0.01) action. In future, such ML-based models could be made increasingly personalized and adaptive based on user behaviors.},
- booktitle = {Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization},
- pages = {57–68},
- numpages = {12},
- keywords = {persuasive models, Automated assistant, behavior science, fitness coaching, personalization},
- location = {Barcelona, Spain},
- series = {UMAP '22},
- abbr = "UMAP",
- pdf = "https://dl.acm.org/doi/pdf/10.1145/3503252.3531301",
-}
-
-@misc{nathani2023maf,
- title={MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models},
- author={Deepak Nathani and David Wang and Liangming Pan and William Yang Wang},
- abstract={Language Models (LMs) have shown impressive performance in various natural language tasks. However, when it comes to natural language reasoning, LMs still face challenges such as hallucination, generating incorrect intermediate reasoning steps, and making mathematical errors. Recent research has focused on enhancing LMs through self-improvement using feedback. Nevertheless, existing approaches relying on a single generic feedback source fail to address the diverse error types found in LM-generated reasoning chains. In this work, we propose Multi-Aspect Feedback, an iterative refinement framework that integrates multiple feedback modules, including frozen LMs and external tools, each focusing on a specific error category. Our experimental results demonstrate the efficacy of our approach to addressing several errors in the LM-generated reasoning chain and thus improving the overall performance of an LM in several reasoning tasks. We see a relative improvement of up to 20% in Mathematical Reasoning and up to 18% in Logical Entailment.},
- year={2023},
- eprint={2310.12426},
- archivePrefix={arXiv},
- primaryClass={cs.CL},
- abbr = "EMNLP",
- arxiv="arxiv:2310.12426",
- code="https://github.com/deepakn97/MAF/tree/main"
-}
-
-@misc{pan2023automatically,
- title={Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies},
- author={Liangming Pan and Michael Saxon and Wenda Xu and Deepak Nathani and Xinyi Wang and William Yang Wang},
- abstract={Large language models (LLMs) have demonstrated remarkable performance across a wide array of NLP tasks. However, their efficacy is undermined by undesired and inconsistent behaviors, including hallucination, unfaithful reasoning, and toxic content. A promising approach to rectify these flaws is self-correction, where the LLM itself is prompted or guided to fix problems in its own output. Techniques leveraging automated feedback -- either produced by the LLM itself or some external system -- are of particular interest as they are a promising way to make LLM-based solutions more practical and deployable with minimal human feedback. This paper presents a comprehensive review of this emerging class of techniques. We analyze and taxonomize a wide array of recent work utilizing these strategies, including training-time, generation-time, and post-hoc correction. We also summarize the major applications of this strategy and conclude by discussing future directions and challenges},
- year={2023},
- eprint={2308.03188},
- archivePrefix={arXiv},
- primaryClass={cs.CL},
- abbr="Arxiv",
- pdf="https://arxiv.org/pdf/2308.03188.pdf"
-}
\ No newline at end of file
diff --git a/_config.yml b/_config.yml
deleted file mode 100644
index 719dc75..0000000
--- a/_config.yml
+++ /dev/null
@@ -1,357 +0,0 @@
-# -----------------------------------------------------------------------------
-# Site settings
-# -----------------------------------------------------------------------------
-
-title: blank # the website title (if blank, full name will be used instead)
-first_name: Deepak
-middle_name:
-last_name: Nathani
-email: deepakn1019@gmail.com
-description: > # the ">" symbol means to ignore newlines until "footer_text:"
- A blog dedicated to my insterests like food, travelling and Computer Science.
-footer_text: >
- Powered by Jekyll with al-folio theme.
- Hosted by GitHub Pages.
- Sitemap
-keywords: computer science, natural language processing, Deepak Nathani, personal website, academic, Ph.D., Research # add your own keywords or leave empty
-
-lang: en # the language of your site (for example: en, fr, cn, ru, etc.)
-icon: 💻 # the emoji used as the favicon (alternatively, provide image name in /assets/img/)
-
-url: https://www.dnathani.net # the base hostname & protocol for your site
-baseurl: # the subpath of your site, e.g. /blog/
-last_updated: true # set to true if you want to display last updated in the footer
-impressum_path: # set to path to include impressum link in the footer, use the same path as permalink in a page, helps to conform with EU GDPR
-
-# -----------------------------------------------------------------------------
-# Theme
-# -----------------------------------------------------------------------------
-
-# code highlighter theme
-highlight_theme_light: github # https://github.com/jwarby/jekyll-pygments-themes
-highlight_theme_dark: native # https://github.com/jwarby/jekyll-pygments-themes
-
-# repo color theme
-repo_theme_light: default # https://github.com/anuraghazra/github-readme-stats/blob/master/themes/README.md
-repo_theme_dark: dark # https://github.com/anuraghazra/github-readme-stats/blob/master/themes/README.md
-
-# -----------------------------------------------------------------------------
-# RSS Feed
-# -----------------------------------------------------------------------------
-# will use title and url fields
-# Take a look to https://github.com/jekyll/jekyll-feed for more customization
-
-rss_icon: true
-
-# -----------------------------------------------------------------------------
-# Layout
-# -----------------------------------------------------------------------------
-
-navbar_fixed: true
-footer_fixed: true
-
-# Dimensions
-max_width: 800px
-
-# TODO: add layout settings (single page vs. multi-page)
-
-# -----------------------------------------------------------------------------
-# Open Graph & Schema.org
-# -----------------------------------------------------------------------------
-# Display links to the page with a preview object on social media.
-serve_og_meta: false # Include Open Graph meta tags in the HTML head
-serve_schema_org: false # Include Schema.org in the HTML head
-og_image: # The site-wide (default for all links) Open Graph preview image
-
-# -----------------------------------------------------------------------------
-# Social integration
-# -----------------------------------------------------------------------------
-
-github_username: deepakn97 # your GitHub user name
-gitlab_username: # your GitLab user name
-twitter_username: deepaknathani11 # your Twitter handle
-mastodon_username: sigmoid.social/@dnathani # your mastodon instance+username in the format instance.tld/@username
-linkedin_username: deepak-nathani # your LinkedIn user name
-telegram_username: # your Telegram user name
-scholar_userid: HZSadHkAAAAJ&hl=en # your Google Scholar ID
-semanticscholar_id: 51130642 # your Semantic Scholar ID
-whatsapp_number: # your WhatsApp number (full phone number in international format. Omit any zeroes, brackets, or dashes when adding the phone number in international format.)
-orcid_id: # your ORCID ID
-medium_username: # your Medium username
-quora_username: # your Quora username
-publons_id: # your ID on Publons
-research_gate_profile: # your profile on ResearchGate
-blogger_url: # your blogger URL
-work_url: # work page URL
-keybase_username: # your keybase user name
-wikidata_id: # your wikidata id
-dblp_url: # your DBLP profile url
-stackoverflow_id: # your stackoverflow id
-kaggle_id: # your kaggle id
-lastfm_id: # your lastfm id
-spotify_id: # your spotify id
-pinterest_id: # your pinterest id
-unsplash_id: # your unsplash id
-instagram_id: # your instagram id
-facebook_id: # your facebook id
-discord_id: # your discord id (18-digit unique numerical identifier)
-
-contact_note:
-
-# -----------------------------------------------------------------------------
-# Analytics and search engine verification
-# -----------------------------------------------------------------------------
-
-google_analytics: UA-144202174-1 # your Goole Analytics measurement ID (format: G-XXXXXXXXXX)
-panelbear_analytics: # panelbear analytics site ID (format: XXXXXXXXX)
-
-google_site_verification: # your google-site-verification ID (Google Search Console)
-bing_site_verification: # out your bing-site-verification ID (Bing Webmaster)
-
-# -----------------------------------------------------------------------------
-# Blog
-# -----------------------------------------------------------------------------
-
-blog_name: Deepak's Blog # blog_name will be displayed in your blog page
-blog_nav_title: Blog # your blog must have a title for it to be displayed in the nav bar
-blog_description:
-permalink: /blog/:year/:title/
-
-# Pagination
-pagination:
- enabled: true
-
-# Comments
-disqus_shortname: # put your disqus shortname
-# https://help.disqus.com/en/articles/1717111-what-s-a-shortname
-
-# External sources.
-# If you have blog posts published on medium.com or other exteranl sources,
-# you can display them in your blog by adding a link to the RSS feed.
-external_sources:
- # - name: medium.com
- # rss_url: https://medium.com/@al-folio/feed
-
-# -----------------------------------------------------------------------------
-# Collections
-# -----------------------------------------------------------------------------
-
-collections:
- news:
- defaults:
- layout: post
- output: true
- permalink: /news/:path/
- projects:
- output: true
- permalink: /projects/:path/
-
-news_scrollable: true # adds a vertical scroll bar if there are more than 3 news items
-news_limit: # leave blank to include all the news in the `_news` folder
-
-# -----------------------------------------------------------------------------
-# Jekyll settings
-# -----------------------------------------------------------------------------
-
-# Markdown and syntax highlight
-markdown: kramdown
-highlighter: rouge
-kramdown:
- input: GFM
- syntax_highlighter_opts:
- css_class: 'highlight'
- span:
- line_numbers: false
- block:
- line_numbers: false
- start_line: 1
-
-# Includes & excludes
-include: ['_pages']
-exclude:
- - bin
- - Gemfile
- - Gemfile.lock
- - vendor
-keep_files:
- - CNAME
- - .nojekyll
- - .git
-
-# Plug-ins
-plugins:
- - jekyll-archives
- - jekyll-diagrams
- - jekyll-email-protect
- - jekyll-feed
- - jekyll-imagemagick
- - jekyll-minifier
- - jekyll-paginate-v2
- - jekyll/scholar
- - jekyll-sitemap
- - jekyll-link-attributes
- - jekyll-twitter-plugin
- - jemoji
-
-# Sitemap settings
-defaults:
- - scope:
- path: "assets/**/*.*"
- values:
- sitemap: false
-
-# -----------------------------------------------------------------------------
-# Jekyll Minifier
-# -----------------------------------------------------------------------------
-
-jekyll-minifier:
- exclude: ['robots.txt']
- uglifier_args:
- harmony: true
-
-# -----------------------------------------------------------------------------
-# Jekyll Archives
-# -----------------------------------------------------------------------------
-
-jekyll-archives:
- enabled: [year, tags, categories] # enables year, tag and category archives (remove if you need to disable one of them).
- layouts:
- year: archive-year
- tag: archive-tag
- category: archive-category
- permalinks:
- year: '/blog/:year/'
- tag: '/blog/tag/:name/'
- category: '/blog/category/:name/'
-
-display_tags: # this tags will be dispalyed on the front page of your blog
-
-# -----------------------------------------------------------------------------
-# Jekyll Scholar
-# -----------------------------------------------------------------------------
-
-scholar:
-
- last_name: [Nathani]
- first_name: [Deepak, D.]
-
- style: apa
- locale: en
-
- source: /_bibliography/
- bibliography: papers.bib
- bibliography_template: bib
- # Note: if you have latex math in your bibtex, the latex filter
- # preprocessing may conflict with MathJAX if the latter is enabled.
- # See https://github.com/alshedivat/al-folio/issues/357.
- bibtex_filters: [latex, smallcaps, superscript]
-
- replace_strings: true
- join_strings: true
-
- details_dir: bibliography
- details_layout: bibtex.html
- details_link: Details
-
- query: "@*"
-
-# Filter out certain bibtex entry keywords used internally from the bib output
-filtered_bibtex_keywords: [abbr, abstract, arxiv, bibtex_show, html, pdf, selected, supp, blog, code, poster, slides, website, preview, altmetric]
-
-# Maximum number of authors to be shown for each publication (more authors are visible on click)
-max_author_limit: 5 # leave blank to always show all authors
-more_authors_animation_delay: 10 # more authors are revealed on click using animation; smaller delay means faster animation
-
-
-# -----------------------------------------------------------------------------
-# Jekyll Link Attributes
-# -----------------------------------------------------------------------------
-
-# These are the defaults
-external_links:
- enabled: true
- rel: external nofollow noopener
- target: _blank
- exclude:
-
-
-# -----------------------------------------------------------------------------
-# Responsive WebP Images
-# -----------------------------------------------------------------------------
-
-imagemagick:
- enabled: true # enables responsive images for your site (recomended, see https://github.com/alshedivat/al-folio/issues/537)
- widths:
- - 480
- - 800
- - 1400
- input_directories:
- - assets/img/
- input_formats:
- - ".jpg"
- - ".jpeg"
- - ".png"
- - ".tiff"
- output_formats:
- webp: "-resize 800x"
-
-# -----------------------------------------------------------------------------
-# Jekyll Diagrams
-# -----------------------------------------------------------------------------
-
-jekyll-diagrams:
- # configuration, see https://github.com/zhustec/jekyll-diagrams.
- # feel free to comment out this section if not using jekyll diagrams.
-
-
-# -----------------------------------------------------------------------------
-# Optional Features
-# -----------------------------------------------------------------------------
-
-enable_google_analytics: true # enables google analytics
-enable_panelbear_analytics: false # enables panelbear analytics
-enable_google_verification: true # enables google site verification
-enable_bing_verification: true # enables bing site verification
-enable_masonry: true # enables automatic project cards arangement
-enable_math: true # enables math typesetting (uses MathJax)
-enable_tooltips: false # enables automatic tooltip links generated
- # for each section titles on pages and posts
-enable_darkmode: true # enables switching between light/dark modes
-enable_navbar_social: false # enables displaying social links in the
- # navbar on the about page
-enable_project_categories: false # enables categorization of projects into
- # multiple categories
-enable_medium_zoom: true # enables image zoom feature (as on medium.com)
-enable_progressbar: true # enables a horizontal progress bar linked to the vertical scroll position
-
-# -----------------------------------------------------------------------------
-# Library versions
-# -----------------------------------------------------------------------------
-
-academicons:
- version: "1.9.1"
- integrity: "sha256-i1+4qU2G2860dGGIOJscdC30s9beBXjFfzjWLjBRsBg="
-bootstrap:
- version: "4.6.1"
- integrity:
- css: "sha256-DF7Zhf293AJxJNTmh5zhoYYIMs2oXitRfBjY+9L//AY="
- js: "sha256-fgLAgv7fyCGopR/gBNq2iW3ZKIdqIcyshnUULC4vex8="
-fontawesome:
- version: "5.15.4"
- integrity: "sha256-mUZM63G8m73Mcidfrv5E+Y61y7a12O5mW4ezU3bxqW4="
-jquery:
- version: "3.6.0"
- integrity: "sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4="
-mathjax:
- version: "3.2.0"
-masonry:
- version: "4.2.2"
- integrity: "sha256-Nn1q/fx0H7SNLZMQ5Hw5JLaTRZp0yILA/FRexe19VdI="
-mdb:
- version: "4.20.0"
- integrity:
- css: "sha256-jpjYvU3G3N6nrrBwXJoVEYI/0zw8htfFnhT9ljN3JJw="
- js: "sha256-NdbiivsvWt7VYCt6hYNT3h/th9vSTL4EDWeGs5SN3DA="
-medium_zoom:
- version: "1.0.6"
- integrity: "sha256-EdPgYcPk/IIrw7FYeuJQexva49pVRZNmt3LculEr7zM="
diff --git a/_data/coauthors.yml b/_data/coauthors.yml
deleted file mode 100644
index 8ed5212..0000000
--- a/_data/coauthors.yml
+++ /dev/null
@@ -1,34 +0,0 @@
-"Adams":
- - firstname: ["Edwin", "E.", "E. P.", "Edwin Plimpton"]
- url: https://en.wikipedia.org/wiki/Edwin_Plimpton_Adams
-
-"Podolsky":
- - firstname: ["Boris", "B.", "B. Y.", "Boris Yakovlevich"]
- url: https://en.wikipedia.org/wiki/Boris_Podolsky
-
-"Rosen":
- - firstname: ["Nathan", "N."]
- url: https://en.wikipedia.org/wiki/Nathan_Rosen
-
-"Bach":
- - firstname: ["Johann Sebastian", "J. S."]
- url: https://en.wikipedia.org/wiki/Johann_Sebastian_Bach
-
- - firstname: ["Carl Philipp Emanuel", "C. P. E."]
- url: https://en.wikipedia.org/wiki/Carl_Philipp_Emanuel_Bach
-
-"Przibram":
- - firstname: ["Karl"]
- url: https://link.springer.com/article/10.1007/s00016-019-00242-z
-
-"Schrödinger":
- - firstname: ["Erwin"]
- url: https://en.wikipedia.org/wiki/Erwin_Schr%C3%B6dinger
-
-"Lorentz":
- - firstname: ["Hendrik Antoon"]
- url: https://en.wikipedia.org/wiki/Hendrik_Lorentz
-
-"Planck":
- - firstname: ["Max"]
- url: https://en.wikipedia.org/wiki/Max_Planck
diff --git a/_data/cv.yml b/_data/cv.yml
deleted file mode 100644
index f474e3a..0000000
--- a/_data/cv.yml
+++ /dev/null
@@ -1,97 +0,0 @@
-# - title: General Information
-# type: map
-# contents:
-# - name: Full Name
-# value: Deepak Nathani
-# - name: Date of Birth
-# value: 10th July 1997
-# - name: Languages
-# value: English, German
-
-# - title: Education
-# type: time_table
-# contents:
-# - title: PhD
-# institution: University of Zurich, Zurich, Switzerland
-# year: 1905
-# description:
-# - Description 1.
-# - Description 2.
-# - title: Description 3.
-# contents:
-# - Sub-description 1.
-# - Sub-description 2.
-# - title: Federal teaching diploma
-# institution: Eidgenössische Technische Hochschule, Zurich, Switzerland
-# year: 1900
-# description:
-# - Description 1.
-# - Description 2.
-
-# - title: Experience
-# type: time_table
-# contents:
-# - title: Professor of Theoretical Physics
-# institution: Institute for Advanced Study, Princeton University
-# year: 1933 - 1955
-# description:
-# - Description 1.
-# - Description 2.
-# - title: Description 3.
-# contents:
-# - Sub-description 1.
-# - Sub-description 2.
-# - title: Visiting Professor
-# institution: California Institute of Technology, Pasadena, California, US
-# year: 1933
-# description:
-# - Description 1.
-# - Description 2.
-
-# - title: Director
-# institution: Kaiser Wilhelm Institute for Physics, Berlin, Germany.
-# year: 1917-1933
-
-# - title: Professor of Theoretical Physics
-# institution: Karl-Ferdinand University, Prague, Czechoslovakia
-# year: 1911 - 1917
-# description:
-
-# - title: Associate Professor of Theoretical Physics
-# institution: University of Zurich, Zurich, Switzerland
-# year: 1909 - 1911
-
-# - title: Open Source Projects
-# type: time_table
-# contents:
-# - title: al-folio
-# year: 2015-now
-# description: A beautiful, simple, clean, and responsive Jekyll theme for academics.
-
-# - title: Honors and Awards
-# type: time_table
-# contents:
-# - year: 1921
-# items:
-# - Nobel Prize in Physics
-# - Matteucci Medal
-# - year: 2029
-# items:
-# - Max Planck Medal
-
-# - title: Academic Interests
-# type: nested_list
-# contents:
-# - title: Topic 1.
-# items:
-# - Description 1.
-# - Description 2.
-# - title: Topic 2.
-# items:
-# - Description 1.
-# - Description 2.
-
-# - title: Other Interests
-# type: list
-# contents:
-# - Hobbies: Hobby 1, Hobby 2, etc.
diff --git a/_data/repositories.yml b/_data/repositories.yml
deleted file mode 100644
index 5205c9f..0000000
--- a/_data/repositories.yml
+++ /dev/null
@@ -1,12 +0,0 @@
-github_users:
- - torvalds
- - alshedivat
-
-github_repos:
- - alshedivat/al-folio
- - twbs/bootstrap
- - jekyll/jekyll
- - jquery/jquery
- - FortAwesome/Font-Awesome
- - jpswalsh/academicons
- - mathjax/MathJax
diff --git a/_includes/cv/list.html b/_includes/cv/list.html
deleted file mode 100644
index 7562585..0000000
--- a/_includes/cv/list.html
+++ /dev/null
@@ -1,5 +0,0 @@
-
- {% for content in entry.contents %}
-
{{ content }}
- {% endfor %}
-
\ No newline at end of file
diff --git a/_includes/cv/map.html b/_includes/cv/map.html
deleted file mode 100644
index e0d1983..0000000
--- a/_includes/cv/map.html
+++ /dev/null
@@ -1,8 +0,0 @@
-
- {% for content in entry.contents %}
-
-
{{ content.name }}
-
{{ content.value }}
-
- {% endfor %}
-
\ No newline at end of file
diff --git a/_includes/cv/nested_list.html b/_includes/cv/nested_list.html
deleted file mode 100644
index 4778aca..0000000
--- a/_includes/cv/nested_list.html
+++ /dev/null
@@ -1,14 +0,0 @@
-
- {% for content in entry.contents %}
-
-
{{ content.title }}
- {% if content.items %}
-
- {% for subitem in content.items %}
-
{{ subitem }}
- {% endfor %}
-
- {% endif %}
-
- {% endfor %}
-
\ No newline at end of file
diff --git a/_includes/cv/time_table.html b/_includes/cv/time_table.html
deleted file mode 100644
index 123b9d0..0000000
--- a/_includes/cv/time_table.html
+++ /dev/null
@@ -1,59 +0,0 @@
-
- {% for content in entry.contents %}
-
-
- {% if content.year %}
-
-
- {{ content.year }}
-
-
- {% endif %}
-
- {% if content.title %}
-
{{content.title}}
- {% endif %}
- {% if content.institution %}
-
{{content.institution}}
- {% endif %}
- {% if content.description %}
-
- {% for item in content.description %}
-
- {% if item.contents %}
- {{ item.title }}
-
- {% for subitem in item.contents %}
-
{{ subitem }}
- {% endfor %}
-
- {% else %}
- {{ item }}
- {% endif %}
-
- {% endfor %}
-
- {% endif %}
- {% if content.items %}
-
- {% for item in content.items %}
-
- {% if item.contents %}
- {{ item.title }}
-
- {% for subitem in item.contents %}
-
{{ subitem }}
- {% endfor %}
-
- {% else %}
- {{ item }}
- {% endif %}
-
- {% endfor %}
-
- {% endif %}
-
-
-
- {% endfor %}
-
\ No newline at end of file
diff --git a/_includes/figure.html b/_includes/figure.html
deleted file mode 100644
index e67e804..0000000
--- a/_includes/figure.html
+++ /dev/null
@@ -1,36 +0,0 @@
-{%- assign img_path = include.path | remove: ".jpg" | remove: ".jpeg" | remove: ".png" | remove: ".tiff" -%}
-
-
diff --git a/_includes/footer.html b/_includes/footer.html
deleted file mode 100644
index acc4688..0000000
--- a/_includes/footer.html
+++ /dev/null
@@ -1,25 +0,0 @@
- {% if site.footer_fixed %}
-
- {%- else -%}
-
- {%- endif %}
\ No newline at end of file
diff --git a/_includes/head.html b/_includes/head.html
deleted file mode 100644
index 3796eb3..0000000
--- a/_includes/head.html
+++ /dev/null
@@ -1,31 +0,0 @@
-
- {% include metadata.html %}
-
-
-
-
-
-
-
-
-
-
-
-
-
-
- {% if site.icon.size < 3 %}
-
- {% elsif site.icon != blank %}
-
- {% endif %}
-
-
-
-
- {% if site.enable_darkmode %}
-
-
-
-
- {% endif %}
diff --git a/_includes/header.html b/_includes/header.html
deleted file mode 100644
index 79779f6..0000000
--- a/_includes/header.html
+++ /dev/null
@@ -1,119 +0,0 @@
-
-
-
-
-
-{% if site.enable_progressbar %}
-
-
-{%- endif %}
-
diff --git a/_includes/metadata.html b/_includes/metadata.html
deleted file mode 100644
index a404ca9..0000000
--- a/_includes/metadata.html
+++ /dev/null
@@ -1,200 +0,0 @@
-{% if site.enable_google_verification or site.enable_bing_verification %}
-
- {% if site.enable_google_verification -%}
-
- {%- endif -%}
- {% if site.enable_bing_verification -%}
-
- {%- endif -%}
-{%- endif %}
-
-
-
-
-
-
- {%- if site.title == "blank" -%}
- {%- capture title -%}{{ site.first_name }} {{ site.middle_name }} {{ site.last_name }}{%- endcapture -%}
- {%- else -%}
- {%- capture title -%}{{ site.title }}{%- endcapture -%}
- {%- endif -%}
- {% if page.url == '/blog/index.html' %}
- {{ site.blog_nav_title }} | {{ title }}
- {%- elsif page.title != "blank" and page.url != "/" -%}
- {%- if page.title == nil or page.title == "" -%}
- {{ page.date | date: "%Y" }} | {{ title }}
- {%- else -%}
- {{ page.title }} | {{ title }}
- {%- endif -%}
- {%- else -%}
- {{ title }}
- {%- endif -%}
-
-
-
-{%- if page.keywords or site.keywords %}
-
-{%- endif %}
-
-{%- if site.serve_og_meta %}
-
-
-
-
-
-
-
- {% if page.og_image or site.og_image -%}
-
- {%- endif %}
-
-
-
-
-
-
- {% if page.og_image or site.og_image -%}
-
- {%- endif %}
- {% if site.twitter_username -%}
-
-
- {%- endif %}
-{%- endif %}
-
-{%- if site.serve_schema_org %}
-
-
- {%- comment -%} Social links generator for "sameAs schema" {%- endcomment %}
- {% assign sameaslinks = "" | split: "," %}
- {%- if site.orcid_id -%}
- {%- capture link -%}https://orcid.org/{{ site.orcid_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.scholar_userid -%}
- {%- capture link -%}https://scholar.google.com/citations?user={{ site.scholar_userid }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.semanticscholar_id -%}
- {%- capture link -%}https://www.semanticscholar.org/author/{{ site.semanticscholar_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.publons_id -%}
- {%- capture link -%}https://publons.com/a/{{ site.publons_id }}/{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.research_gate_profile -%}
- {%- capture link -%}https://www.researchgate.net/profile/{{site.research_gate_profile}}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.github_username -%}
- {%- capture link -%}https://github.com/{{ site.github_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.telegram_username -%}
- {%- capture link -%}https://telegram.me/{{ site.telegram_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.linkedin_username -%}
- {%- capture link -%}https://www.linkedin.com/in/{{ site.linkedin_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.twitter_username -%}
- {%- capture link -%}https://twitter.com/{{ site.twitter_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.medium_username -%}
- {%- capture link -%}https://medium.com/@{{ site.medium_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.quora_username -%}
- {%- capture link -%}https://www.quora.com/profile/{{ site.quora_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.blogger_url -%}
- {%- capture link -%}{{ site.blogger_url }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.work_url -%}
- {%- capture link -%}{{ site.work_url }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.wikidata_id -%}
- {%- capture link -%}https://www.wikidata.org/wiki/{{ site.wikidata_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.strava_userid -%}
- {%- capture link -%}https://www.strava.com/athletes/{{ site.strava_userid }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.keybase_username -%}
- {%- capture link -%}https://keybase.io/{{ site.keybase_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.gitlab_username -%}
- {%- capture link -%}https://gitlab.com/{{ site.gitlab_username }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.dblp_url -%}
- {%- capture link -%}{{ site.dblp_url }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.stackoverflow_id -%}
- {%- capture link -%}https://stackoverflow.com/users/{{ site.stackoverflow_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.kaggle_id -%}
- {%- capture link -%}https://www.kaggle.com/{{ site.kaggle_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.lastfm_id -%}
- {%- capture link -%}https://www.last.fm/user/{{ site.lastfm_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.spotify_id -%}
- {%- capture link -%}https://open.spotify.com/user/{{ site.spotify_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.pinterest_id -%}
- {%- capture link -%}https://www.pinterest.com/{{ site.pinterest_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.unsplash_id -%}
- {%- capture link -%}https://unsplash.com/@{{ site.unsplash_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.instagram_id -%}
- {%- capture link -%}https://instagram.com/{{ site.instagram_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.facebook_id -%}
- {%- capture link -%}https://facebook.com/{{ site.facebook_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if site.discord_id -%}
- {%- capture link -%}https://discord.com/users/{{ site.discord_id }}{%- endcapture -%}
- {%- assign sameaslinks = sameaslinks | push: link -%}
- {%- endif -%}
- {%- if sameaslinks != blank -%}
- {%- assign sameaslinks = sameaslinks | split: "" -%}
- {%- endif -%}
-
-
-{%- endif %}
diff --git a/_includes/news.html b/_includes/news.html
deleted file mode 100644
index 13a8cc0..0000000
--- a/_includes/news.html
+++ /dev/null
@@ -1,31 +0,0 @@
-
-
diff --git a/_news/announcement_1.md b/_news/announcement_1.md
deleted file mode 100644
index f6e1e32..0000000
--- a/_news/announcement_1.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2019-5-14 15:59:00
-inline: true
----
-
-Our paper titled "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs" accepted as long paper at __ACL 2019__! Paper and code coming soon!
diff --git a/_news/announcement_10.md b/_news/announcement_10.md
deleted file mode 100644
index b76b9fe..0000000
--- a/_news/announcement_10.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2024-04-17 15:59:00
-inline: true
----
-
-I will join the GenAI team at Meta London as a Research Scientist Intern starting in June!
diff --git a/_news/announcement_2.md b/_news/announcement_2.md
deleted file mode 100644
index ddeabb9..0000000
--- a/_news/announcement_2.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2019-06-5 10:00:00
-inline: true
----
-
-[Arxiv Preprint](https://arxiv.org/abs/1906.01195) and [code](https://github.com/deepakn97/relationPrediction) is now available for our ACL 2019 paper.
diff --git a/_news/announcement_3.md b/_news/announcement_3.md
deleted file mode 100644
index 2952a3b..0000000
--- a/_news/announcement_3.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2019-07-12 10:00:00
-inline: true
----
-
-The blog for our ACL 2019 paper is now available [here](https://deepakn97.github.io/blog/2019/Knowledge-Base-Relation-Prediction/).
diff --git a/_news/announcement_4.md b/_news/announcement_4.md
deleted file mode 100644
index fca0a59..0000000
--- a/_news/announcement_4.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2019-12-20 15:59:00
-inline: true
----
-
-Our paper titled "Few-Shot Learning on Graphs via Super-Classes Based on Graph Spectral Measures" accepted as a Poster Presentation at __ICLR 2020__! Paper is available [here](https://openreview.net/pdf?id=Bkeeca4Kvr).
diff --git a/_news/announcement_5.md b/_news/announcement_5.md
deleted file mode 100644
index 76b6b78..0000000
--- a/_news/announcement_5.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2019-10-7 15:59:00
-inline: true
----
-
-Our paper titled "A Persistent Homology Perspective to the Link Prediction Problem" accepted as a Poster Presentation at __Complex Networks 2019__! [Link](http://sumitbhatia.net/papers/complex-nets-19.pdf).
diff --git a/_news/announcement_6.md b/_news/announcement_6.md
deleted file mode 100644
index 3073cb9..0000000
--- a/_news/announcement_6.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2022-09-29 15:59:00
-inline: true
----
-
-I have started my PhD at University of California, Santa Barbara [NLP](http://nlp.cs.ucsb.edu/) group. I will be working with [Prof. William Wang](https://sites.cs.ucsb.edu/~william/).
diff --git a/_news/announcement_7.md b/_news/announcement_7.md
deleted file mode 100644
index aaf3b63..0000000
--- a/_news/announcement_7.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2022-11-25 15:59:00
-inline: true
----
-
-I am looking for summer research internships in 2023. If you think I will be a good fit for your team, let me know!
diff --git a/_news/announcement_8.md b/_news/announcement_8.md
deleted file mode 100644
index 9d28704..0000000
--- a/_news/announcement_8.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-layout: post
-date: 2023-09-25 15:59:00
-inline: true
----
-
-Completed my Summer Internship at Amazon Web Services (AWS) AI labs under the supervision of [Xing Niu](https://xingniu.org/), [Shuoyang Ding](https://www.cs.jhu.edu/~sding/) and [Prashant Mathur](http://mtresearcher.github.io/).
\ No newline at end of file
diff --git a/_news/announcement_9.md b/_news/announcement_9.md
deleted file mode 100644
index 4296db1..0000000
--- a/_news/announcement_9.md
+++ /dev/null
@@ -1,8 +0,0 @@
----
-layout: post
-date: 2023-10-07 15:59:00
-inline: true
----
-
-Our paper titled *MAF: Multi-Aspect Feedback for Improving
-Reasoning in Large Language Models* will appear at EMNLP 2023. Details coming out soon!
\ No newline at end of file
diff --git a/_pages/about.md b/_pages/about.md
deleted file mode 100644
index a5bf769..0000000
--- a/_pages/about.md
+++ /dev/null
@@ -1,42 +0,0 @@
----
-layout: about
-title: About
-permalink: /
-subtitle: # Affiliations. Address. Contacts. Moto. Etc.
-
-profile:
- align: right
- image: prof_pic.jpg
- image_circular: false # crops the image to make it circular
- # address: >
- #
555 your office number
- #
123 your address street
- #
Your City, State 12345
-
-news: true # includes a list of news items
-selected_papers: false # includes a list of papers marked as "selected={true}"
-social: true # includes social icons at the bottom of the page
----
-
-
-Hello! I am Deepak Nathani. I am currently a 2nd year PhD student at [UC, Santa Barbara](https://www.cs.ucsb.edu/) advised by [Prof. William Wang](https://sites.cs.ucsb.edu/~william/) in the [UCSB NLP](http://nlp.cs.ucsb.edu/) lab. My research interests lie broadly in the areas of Natural Language Generation and Commonsense Reasoning. Recently, I have been interested in automated feedback generation to boost reasoning performance in LLMs.
-
-In the past, I have worked as a **Pre-Doctoral Researcher** at [Google Research, India](https://research.google/locations/india/) with [Dr. Partha Talukdar](https://research.google/people/ParthaTalukdar/). At Google, I worked on Controllable Text Generation and Conversational AI. I have also worked as a **Software Engineering AMTS** at [Salesforce.com](https://www.salesforce.com/).
-
-I graduated from [IIT Hyderabad](https://iith.ac.in/) with a B.Tech degree in Mechanical Engineering and Computer Science as my second major. During my time as an undergraduate, I worked on various research problems with [Dr. Manohar Kaul](https://manukaul.github.io/).
-
-Among other things, I enjoy playing games, listening to music, reading books and most important of them all, I love food. :wink:
-
-
-
-### **contact**
-
-
-
-**Graduate Admissions and Research Guidance:** Need advice on starting in NLP/ML research or navigating graduate admissions? Connect with me through the [CARE Program](https://care-program.github.io/). I am happy to help.
-
-**Research Collaborations:** Interested in discussing interesting research directions or potential collaborations? I'd love to hear from you. Let's schedule a time to talk. Please book a slot on my [calendar](https://fantastical.app/dnathani/appointments) and I will get back to you.
-
-**General Queries:** For any other questions or if you're unsure where your query fits, feel free to reach me via email or [X/Twitter](https://twitter.com/deepaknathani11).
-
-Looking forward to connecting with you and sharing ideas!
\ No newline at end of file
diff --git a/_pages/cv.md b/_pages/cv.md
deleted file mode 100644
index 6bd9db3..0000000
--- a/_pages/cv.md
+++ /dev/null
@@ -1,8 +0,0 @@
----
-layout: default
-permalink: /cv/
-title: CV
-nav: true
-nav_order: 4
-redirect_to: /assets/pdf/dnathani_CV_2023.pdf
----
diff --git a/_pages/dropdown.md b/_pages/dropdown.md
deleted file mode 100644
index a4d670c..0000000
--- a/_pages/dropdown.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-layout: page
-title: submenus
-nav: false
-nav_order: 6
-dropdown: true
-children:
- - title: publications
- permalink: /publications/
- - title: divider
- - title: projects
- permalink: /projects/
----
\ No newline at end of file
diff --git a/_pages/dropdown/index.html b/_pages/dropdown/index.html
new file mode 100644
index 0000000..b102a84
--- /dev/null
+++ b/_pages/dropdown/index.html
@@ -0,0 +1 @@
+ submenus | Deepak Nathani
submenus
\ No newline at end of file
diff --git a/_pages/projects.md b/_pages/projects.md
deleted file mode 100644
index d31459b..0000000
--- a/_pages/projects.md
+++ /dev/null
@@ -1,58 +0,0 @@
----
-layout: page
-title: projects
-permalink: /projects/
-description: A growing collection of your cool projects.
-nav: false
-nav_order: 2
-display_categories: [work, fun]
-horizontal: false
----
-
-
-
-{%- if site.enable_project_categories and page.display_categories %}
-
- {%- for category in page.display_categories %}
-
- {% for repo in site.data.repositories.github_repos %}
- {% include repository/repo.html repository=repo %}
- {% endfor %}
-
-{% endif %}
diff --git a/_pages/teaching.md b/_pages/teaching.md
deleted file mode 100644
index 6ae15e4..0000000
--- a/_pages/teaching.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-layout: page
-permalink: /teaching/
-title: teaching
-description: Materials for courses you taught. Replace this text with your description.
-nav: false
-nav_order: 5
----
-
-For now, this page is assumed to be a static description of your courses. You can convert it to a collection similar to `_projects/` so that you can have a dedicated page for each course.
-
-Organize your courses by years, topics, or universities, however you like!
diff --git a/_plugins/external-posts.rb b/_plugins/external-posts.rb
deleted file mode 100644
index e4fd5eb..0000000
--- a/_plugins/external-posts.rb
+++ /dev/null
@@ -1,36 +0,0 @@
-require 'feedjira'
-require 'httparty'
-require 'jekyll'
-
-module ExternalPosts
- class ExternalPostsGenerator < Jekyll::Generator
- safe true
- priority :high
-
- def generate(site)
- if site.config['external_sources'] != nil
- site.config['external_sources'].each do |src|
- p "Fetching external posts from #{src['name']}:"
- xml = HTTParty.get(src['rss_url']).body
- feed = Feedjira.parse(xml)
- feed.entries.each do |e|
- p "...fetching #{e.url}"
- slug = e.title.downcase.strip.gsub(' ', '-').gsub(/[^\w-]/, '')
- path = site.in_source_dir("_posts/#{slug}.md")
- doc = Jekyll::Document.new(
- path, { :site => site, :collection => site.collections['posts'] }
- )
- doc.data['external_source'] = src['name'];
- doc.data['feed_content'] = e.content;
- doc.data['title'] = "#{e.title}";
- doc.data['description'] = e.summary;
- doc.data['date'] = e.published;
- doc.data['redirect'] = e.url;
- site.collections['posts'].docs << doc
- end
- end
- end
- end
- end
-
-end
diff --git a/_plugins/hideCustomBibtex.rb b/_plugins/hideCustomBibtex.rb
deleted file mode 100644
index 4a852fd..0000000
--- a/_plugins/hideCustomBibtex.rb
+++ /dev/null
@@ -1,15 +0,0 @@
- module Jekyll
- module HideCustomBibtex
- def hideCustomBibtex(input)
- keywords = @context.registers[:site].config['filtered_bibtex_keywords']
-
- keywords.each do |keyword|
- input = input.gsub(/^.*#{keyword}.*$\n/, '')
- end
-
- return input
- end
- end
-end
-
-Liquid::Template.register_filter(Jekyll::HideCustomBibtex)
diff --git a/_posts/2019-05-15-Knowledge-Base-Relation-Prediction.markdown b/_posts/2019-05-15-Knowledge-Base-Relation-Prediction.markdown
deleted file mode 100644
index f491688..0000000
--- a/_posts/2019-05-15-Knowledge-Base-Relation-Prediction.markdown
+++ /dev/null
@@ -1,204 +0,0 @@
----
-layout: post
-title: Pay Attention, Relations are Important
-date: 2019-07-12 16:40:16
-description: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
-keywords: Attention, Knowledge Graphs, Machine Learning, Deep Learning, Graphs, Graph Convolution Networks, Attention Networks, Knowledge Base completion, Knowledge Graph completion, Relation Prediction, Link Prediction, ACL
----
-
-
-
-
-### Overview
-In recent years, Knowledge Graphs have been utilized to solve many real world problems such as Semantic Search, Dialogue Generation and Question Answering to name a few. Knowledge Graphs suffer from incompleteness in form of missing entities and relations, which has fueled a lot of research on Knowledge Base completion. Relation prediction is one of the widely used approaches to solve the problem of incompleteness.
-
-Here we will present our ACL 2019 work, [Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://arxiv.org/abs/1906.01195), and introduce a novel neural network architecture which operates on Knowledge Graphs and learns to extract more expressive feature representations for entities and relations. Our model also addresses the shortcomings of previous methods like [ConvKB](https://arxiv.org/abs/1712.02121), [ConvE](https://arxiv.org/abs/1707.01476), [RGCN](https://arxiv.org/abs/1703.06103), [TransE](https://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data), [DistMult](https://arxiv.org/pdf/1412.6575.pdf) and [ComplEx](https://arxiv.org/pdf/1606.06357.pdf).
-
-The code for this publication is provided [here](https://github.com/deepakn97/relationPrediction). We will discuss how to reproduce the results given in the paper at the end of this post.
-
-### Graph Convolution Networks
-
-Convolutional Neural Networks (CNNs) have helped in significantly improving the state-of-the-art in Computer Vision research. Image data can be seen as a *spatial grid* which is highly rigid (each pixel is connected to it's 8 neighboring pixels). The CNNs exploit the rigidity and regular connectivity pattern of image data and thus give us an effective and trivial method to implement convolution operator.
-
-Convolution operator in images gathers information from neighboring pixels commensurately. Similar idea is used when defining convolution operation on graphs.
-Now Consider, a graph with $$ n $$ nodes, specified as set of node features $$ \textbf{x} = \{\vec{x}_{1},\vec{x}_{2},...,\vec{x}_{N}\} $$ and the connectivity information in form of adjacency matrix $$ A $$. A *graph convolutional layer* then produces a transformed set of node feature vectors $$ \textbf{x}^\prime = \{\vec{x}_{1}^{\prime},\vec{x}_{2}^{\prime},...,\vec{x}_{N}^{\prime}\} $$ based on the structure of the graph and intial embeddings of the entities.
-
-The convolution operation on graph can be summarized with the help of following two operations. First, in order to achieve a higher order representation of nodes, we do a linear transformation parametrized by a weight matrix $$ \textbf{W} $$. The transformed feature vectors $$ \vec{g_{i}} $$ are given as $$\vec{g_{i}} = \textbf{W}\vec{x_{i}} $$. Finally, to get the output features of node $$ i $$, we will aggregate the features across the neighborhood of the node. Final feature vectors $$ \vec{x^{'}_{i}} $$ can be defined as:
-
-$$
-\begin{aligned}
-\vec{x_{i}^{\prime}} = \sigma \Bigg( \sum_{j \in \mathcal{N}_{i}} \alpha_{ij} \vec{g_{j}} \Bigg)
-\end{aligned}
-$$
-
-where $$ \sigma $$ is an activation function, $$ \mathcal{N}_{i} $$ defines the neighborhood of node $$ i $$, and $$ \alpha_{ij} $$ specifies the importance of node $$ j^{'}s $$ features to node $$ i $$.
-In most of the prior works, $$ \alpha_{ij} $$ is defined explicitly, based on structural properties or as a learnable weight.
-
-### Graph Attention Networks
-
-We just saw how graph convolution works for arbitrary graph. Vaswani et al., 2017 It has been shown that self-attention can help us go above and beyond on the task of machine translation, Vaswani et al 2017(Transformer). Taking motivation from the previous success of self-attention mechanism, the GAT(cite) defines the value of $$ \alpha_{ij} $$ __implicitly__.
-
-Computation of $$ \alpha_{ij} $$ is a result of an attentional mechanism $$ a $$ applied over node features. The un-normalized attention coefficients over node pair $$ i,j $$ are computed as follows:
-
-$$
-e_{ij} = a(\vec{g}_{i}, \vec{g}_{j})
-$$
-
-where $$ \vec{g}_i $$ and $$ \vec{g}_{j} $$ are transformed feature vectors of nodes $$ i $$ and $$ j $$, as described in previous section.
-
-The node $$ i $$ is allowed to attend over it's neighborhood, $$ j \in \mathcal{N}_{i} $$. These un-normalized attention values cannot be used to compare the importance of different nodes, so typically the coefficients are normalized by using a *softmax function*. The final output of a __Graph Attention Layer__ is calculated by gathering the information from the neighborhood as shown in the following equation:
-
-$$
-\vec{x_{i}^{\prime}} = \sigma \Bigg( \sum_{j \in \mathcal{N}_{i}} \alpha_{ij} \textbf{W} \vec{x_{j}} \Bigg)
-$$
-
-Multi-head attention mechanism is employed to stabilize the learning process, taking the motivation from Vaswani et al, 2017. The above operations are independently applied to the node features and the outputs are featurewise aggregated, by concatenating or by adding (as is the case in last layer).
-
-$$
- \vec{x_{i}^{\prime}} = \underset{k=1}{\stackrel{K}{\Big \Vert}} \sigma \Bigg( \sum_{j \in \mathcal{N}_{i}} \alpha_{ij}^{k} \textbf{W}^{k} \vec{x_{j}} \Bigg)
-$$
-
-where $$ \Vert $$ represents concatenation, $$ \sigma $$ represents any non-linear activation function, $$ \alpha_{ij}^{k} $$ are normalized attention coefficients calculated by the $$ k $$-th attention mechanism, and $$ \textbf{W}^k $$ represents the corresponding linear transformation matrix of the $$ k $$-th
-attention mechanism.This fully specifies a Graph Attention Layer!
-
-Now we can work with arbitrary structured graphs, Good! But, what about Knowledge Graphs, are GATs good enough to produce best results on those kind of graphs? How are Knowledge Graphs different? We discuss this in the next section and give a novel architecture to tackle some of the shortcomings of existing method.
-
-### Brief introduction to Knowledge graphs Embeddings
-
-A knowledge graph is denoted by $$ \mathcal{G}=(\mathcal{E}, R) $$, where $$ \mathcal{E} $$ and $$ R $$ represent the set of entities (nodes) and relations (edges), respectively. A triple $$ (e_s, r, e_o) $$ is represented as an edge $$ r $$ between nodes $$ e_s $$ and $$ e_r $$ in $$ \mathcal{G} $$. A triple in the Knowledge Graph denotes a fact, for example in the image, the triple *(London, capital_of, United Kingdom)* represents the fact that *London* is the *capital of* *United Kingdon*, so *capital_of* is the relatoin between two specified entities.
-
-
-
-Subgraph of a knowledge graph contains actual relations between entities (solid lines) and inferred relations that are initially hidden (dashed lines).
-
-
-
-
-Embedding models try to learn an effective representation of entities, relations, and a scoring function $$ f $$, such that for a given input triple $$ t = (e_s, r, e_o) $$, $$ f(t) $$ gives the likelihood of $$ t $$ being a valid triple. For example, above figure shows the subgraph from a KG which infers missing links represented by dashed lines using existing triples such as *(London, captial\_of, United Kingdom)*.
-
-It is the relations between entities that differentiates the Knowledge Graphs from other types of graphs. As can be understood by observing the structure of Knowledge Graphs, relations are an integral part of these graphs. An entity can play multiple roles depending on the relation by which they are connected. For example, in the above figure, *Christopher Nolan* plays different roles of *brother* and a *director*. Thus, while working with Knowledge Graphs, it's just not enough to focus on entities and ignore relations!
-
-### KBAT (Knowledge Base Attention) Network
-
-With the preceding information as our motivation, we define a novel neural network architecture, Knowledge Base Attention Network, which uses the self-attention mechanism to attend over the neighborhood of every node and takes into account the relations in the Knowledge Graphs.
-
-Consider a Knowledge Graph $$ \mathcal{G} $$, with *Entity embedding* matrix $$ \textbf{H} \in \mathbb{R}^{N_e \times T} $$, where the $$ i $$-th row is the embedding of entity $$ e_i $$, $$ N_e $$ is the total number of entities, and $$ T $$ is the feature dimension of each entity embedding. With a similar construction, the *relation embeddings* are represented by a matrix $$ \textbf{G} \in \mathbb{R}^{N_r \times P} $$. Taking these two embedding matrices as input, the layer outputs the corresponding embedding matrices, $$ \textbf{H}^\prime \in \mathbb{R}^{N_e \times T^\prime} $$ and $$ \textbf{G}^\prime \in \mathbb{R}^{N_r \times P^\prime} $$. We define an edge tuple $$ t_{ij}^{k} $$ as, $$ t_{ij}^{k} = (e_i, r_k, e_j) $$, where $$ e_i, e_j $$ are the entities and $$ r_k $$ is the relation joining these two entities.
-
-To incorporate the relations, we learn a new representation of every edge and aggregate the information by summing this over the neighborhood multiplying with the appropriate attention values. We learn these embeddings by performing a linear transformation over the concatenation of entity and relation feature vectors corresponding to a particular triple $$ t_{ij}^{k} = (e_i, r_k, e_j) $$ as shown:
-
-$$
- \vec{c_{ijk}} = \textbf{W}_{1} [\vec{h}_{i} \Vert \vec{h}_{j} \Vert \vec{g}_{k}]
-$$
-
-where $$\vec{c_{ijk} }$$ is the vector representation of a triple $$t_{ij}^k$$. Vectors $$\vec{h}_i, \vec{h}_j$$, and $$\vec{g}_k$$ denote embeddings of entities $$e_i, e_j$$ and relation $$r_k$$, respectively. Additionally, $$\textbf{W}_1$$ denotes the linear transformation matrix.
-
-We use a self-attention mechanism $$ a $$, to compute the un-normalized attention coefficients $$ b_{ijk} $$, for all edge tuple $$ t_{ij}^k $$ for all the tuples in the neighborhood $$ \mathcal{N_i} $$ of node $$ i $$:
-
-$$
-b_{ijk} = a(\vec{h}_{i}, \vec{g}_k, \vec{h}_{j})
-$$
-
-where $$ \vec{h}_i, \vec{h}_j $$ denote the embeddings of $$ i^{th} $$ and $$ j^{th} $$ entities.
-
-The framework is agnostic to the attention mechanism $$ a $$. In this work, we use a single layered neural network as an attention mechanism and the calculation is shown in the equation below:
-
-$$
- b_{ijk} = \textrm{LeakyReLU} \Big( \textbf{W}_{2} c_{ijk} \Big)
-$$
-
-where $$ \textbf{W}_2 $$ is the linear transformation matrix.
-
-Similar to the GAT layer, we use the *softmax function* to normalize these attention values to be useful across the neighborhoods and the normalized attention values $$ \alpha_{ijk} $$ are calculated:
-
-$$
-\alpha_{ijk} = \frac{\textrm{exp} (b_{ijk})}{\sum_{n \in \mathcal{N}_{i}} \sum_{r \in \mathcal{R}_{in}} \textrm{exp} (b_{inr})}
-$$
-
-where $$\mathcal{N}_i$$ denotes the neighborhood of entity $$e_i$$ and $$\mathcal{R}_{ij}$$ denotes the set of relations connecting entities $$e_i$$ and $$e_j$$.
-
-The new embedding of the entity $$ e_i $$ is calculated by aggregating the information from the neighborhood by summing each triple representation weighted by their attention values as shown:
-
-$$
- \vec{h_{i}^{\prime}} = \sigma \Bigg( \sum_{j \in \mathcal{N}_{i}} \sum_{k \in \mathcal{R}_{ij}} \alpha_{ijk} \vec{c_{ijk}} \Bigg)
-$$
-
-We employ a similar multi-head attention mechanism to GAT, which was first introduced by Vaswani et al., 2017 , is used to stabilize the learning process and encapsulate more information about the neighborhood.
-
-$$
- \vec{h_{i}^{\prime}} = \underset{m=1}{\stackrel{M}{\Big \Vert}} \sigma \Bigg( \sum_{j \in \mathcal{N}_{i}} \alpha_{ijk}^{m} c_{ijk}^{m} \Bigg)
-$$
-
-We perform a linear transformation on input *relation embedding* matrix $$ \textbf{G} $$, and get the transformed relation embeddings $$ G^\prime \in \mathbb{R}^{N_r \times T^\prime} $$, where $$ T^\prime $$ is shared output dimensionality of entity and relation embeddings.
-
-$$
-G^{\prime} = G.\textbf{W}^{R}
-$$
-
-In the Graph Convolution and Graph Attention Networks, its a good practice to add a self loop to every entity so that the information of that entity also plays a role in it's new embeddings. However, if we cannot do the same in Knowledge graphs because adding a self loop means adding a new relation type which does not makes sense. On the other hand, ignoring the previous information stored in the embeddings doesn't seem like a good idea. We resolve this issue by linearly transforming $$ \textbf{H}^i $$ to obtain $$ \textbf{H}^t $$ using a weight matrix $$ \textbf{W}^E \in \mathbb{R}^{T^i \times T^f} $$, where $$ \textbf{H}^i $$ represents the input entity embeddings to our model, $$ \textbf{H}^t $$ represents the transformed entity embeddings, $$ T^i $$ denotes the dimension of an initial entity embedding, and $$ T^f $$ denotes the dimension of the final entity embedding. We add this initial entity embedding information to the entity embeddings obtained from the final attentional layer, $$ \textbf{H}^f \in \mathbb{R}^{N_e \times T^f} $$ as shown below:
-
-$$
- \textbf{H}^{\prime\prime} = \textbf{W}^E \textbf{H}^t + \textbf{H}^{f}
-$$
-
-With this preceding information, we have succefully defined a Knowledge Base Attention Layer!
-
-### Auxiliary Edges
-
-In our architecture, we extend the notion of an *edge* to a *directed path* by introducing an auxiliary relation for $$ n $$-hop neighbors between two entities. In the current mode, the embedding of this auxiliary relation is the featurewise summation of embeddings of all the relations in the path. However, the summation operation can be replaced with a *max pooling* operation.
-
-
-
-This figure shows the aggregation process of our graph attentional layer. The dashed lines represent an auxiliary edge from a n-hop neighbors, in this case n = 2.
-
-
-Let's see an easy example how KBAT works. KBAT iteratively accumulates knowledge from distant neighbors of an entity. As illustrated in the image above, in the first layer of this model, all entities capture information from their *direct in-flowing neighbors*. In the second layer, *U.S* gathers information from entities *Barack Obama, Ethan Horvath, Chevrolet, and Washington D.C*, which already possess information about their neighbors *Michelle Obama* and *Samuel L. Jackson*, from a previous layer. In general, for a $$n$$ layer model the incoming information is accumulated over a $$n$$-hop neighborhood. We found that normalizing the entity embeddings after every generalized KBAT layer and prior to the first layer was useful.
-
-### Is that enough?
-
-We used a decoder network to decode the information collected by KBAT and use that decoded information for the ranking task. We used [ConvKB](https://arxiv.org/abs/1712.02121) as a decoder model. And we found that while KBAT networks does a good job at collecting information from the neighborhood, that information can not be directly used to make amazing predictions. This concludes the explanation of our model, KBAT (The Encoder) and a decoder network (ConvKB in this case).
-
-### Reproducing the results
-
-In this section we will first summarize how to use KBAT model on new datasets (not available in our github repo). Once we are done with the basic setup and initialization, there will be steps on reproducing the results given in the paper.
-
-1. Let's start with cloning the github [repository](https://github.com/deepakn97/relationPrediction) which contains pytorch implementation of KBAT network.
- ````
- $ git clone https://github.com/deepakn97/relationPrediction.git
- ````
-
-2. If you wish to reuse the dataset provided please feel free to skip to step 4. Now we need to create a new data directory and populate the directory with some important files.
- * **_entity2id.txt:_** contains mapping of entity names to the id. id starts from 0.
- * **_relation2id.txt:_** contains mapping of relation names to the id. id starts from 0.
- * **_train.txt and test.txt:_** contains list of triples in the format _entity1 relation entity2_
- For better example, please inspect one of the data directories.
-
-3. KBAT network requires to initialize the entity and relation embedding vectors before it can start training. We use [TransE](https://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.pdf) embeddings to initialize these vectors. Set of commands given below can be used to get embedding files. For more detailed information please refer [here](https://github.com/datquocnguyen/STransE).
-
- {% highlight bash %}
- $ git clone https://github.com/datquocnguyen/STransE.git
- $ cd ./SOURCE_DIR
- SOURCE_DIR$ g++ -I ../SOURCE_DIR/ STransE.cpp -o STransE -O2 -fopenmp -lpthread
- SOURCE DIR$ /STransE -model 1_OR_0 -data CORPUS_DIR_PATH -size -l1 1_OR_0 -margin -lrate
- {% endhighlight %}
-
-{:start="4"}
-4. Now we have everything in place and we can start training the model. Once the training completes, the model will automatically evaluate it's performance on the given test set. To train the model we need to run _main.py_ using the following command.
-
- {% highlight python %}
- $ python3 main.py -data [data_dir]
- {% endhighlight %}
-To find about all the parameters available please look at the github [repository](https://github.com/deepakn97/relationPrediction). We also provide a values of all the parameters used for producing the results reported in the paper.
-
-### Citation
-Please cite the following paper if you use this code in your work.
-
- @InProceedings{KBGAT2019,
- author = "Nathani, Deepak and Chauhan, Jatin and Sharma, Charu and Kaul, Manohar",
- title = "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs",
- booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
- year = "2019",
- publisher = "Association for Computational Linguistics",
- location = "Florence, Italy",
- }
-
-For any query or suggestion, please drop a mail at deepakn1019@gmail.com.
diff --git a/_projects/1_project.md b/_projects/1_project.md
deleted file mode 100644
index 3f7cf78..0000000
--- a/_projects/1_project.md
+++ /dev/null
@@ -1,80 +0,0 @@
----
-layout: page
-title: project 1
-description: a project with a background image
-img: assets/img/12.jpg
-importance: 1
-category: work
----
-
-Every project has a beautiful feature showcase page.
-It's easy to include images in a flexible 3-column grid format.
-Make your photos 1/3, 2/3, or full width.
-
-To give your project a background in the portfolio page, just add the img tag to the front matter like so:
-
- ---
- layout: page
- title: project
- description: a project with a background image
- img: /assets/img/12.jpg
- ---
-
-
- Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.
-
- This image can also have a caption. It's like magic.
-
-
-You can also put regular text between your rows of images.
-Say you wanted to write a little bit about your project before you posted the rest of the images.
-You describe how you toiled, sweated, *bled* for your project, and then... you reveal its glory in the next row of images.
-
-
-
- You can also have artistically styled 2/3 + 1/3 images, like these.
-
-
-
-The code is simple.
-Just wrap your images with `
` and place them inside `
` (read more about the Bootstrap Grid system).
-To make images responsive, add `img-fluid` class to each; for rounded corners and shadows use `rounded` and `z-depth-1` classes.
-Here's the code for the last row of images above:
-
-{% raw %}
-```html
-
-```
-{% endraw %}
diff --git a/_projects/2_project.md b/_projects/2_project.md
deleted file mode 100644
index bebf796..0000000
--- a/_projects/2_project.md
+++ /dev/null
@@ -1,80 +0,0 @@
----
-layout: page
-title: project 2
-description: a project with a background image
-img: assets/img/3.jpg
-importance: 2
-category: work
----
-
-Every project has a beautiful feature showcase page.
-It's easy to include images in a flexible 3-column grid format.
-Make your photos 1/3, 2/3, or full width.
-
-To give your project a background in the portfolio page, just add the img tag to the front matter like so:
-
- ---
- layout: page
- title: project
- description: a project with a background image
- img: /assets/img/12.jpg
- ---
-
-
- Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.
-
- This image can also have a caption. It's like magic.
-
-
-You can also put regular text between your rows of images.
-Say you wanted to write a little bit about your project before you posted the rest of the images.
-You describe how you toiled, sweated, *bled* for your project, and then... you reveal its glory in the next row of images.
-
-
-
- You can also have artistically styled 2/3 + 1/3 images, like these.
-
-
-
-The code is simple.
-Just wrap your images with `
` and place them inside `
` (read more about the Bootstrap Grid system).
-To make images responsive, add `img-fluid` class to each; for rounded corners and shadows use `rounded` and `z-depth-1` classes.
-Here's the code for the last row of images above:
-
-{% raw %}
-```html
-
-```
-{% endraw %}
diff --git a/_projects/3_project.md b/_projects/3_project.md
deleted file mode 100644
index 3f3cbf7..0000000
--- a/_projects/3_project.md
+++ /dev/null
@@ -1,81 +0,0 @@
----
-layout: page
-title: project 3
-description: a project that redirects to another website
-img: assets/img/7.jpg
-redirect: https://unsplash.com
-importance: 3
-category: work
----
-
-Every project has a beautiful feature showcase page.
-It's easy to include images in a flexible 3-column grid format.
-Make your photos 1/3, 2/3, or full width.
-
-To give your project a background in the portfolio page, just add the img tag to the front matter like so:
-
- ---
- layout: page
- title: project
- description: a project with a background image
- img: /assets/img/12.jpg
- ---
-
-
- Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.
-
- This image can also have a caption. It's like magic.
-
-
-You can also put regular text between your rows of images.
-Say you wanted to write a little bit about your project before you posted the rest of the images.
-You describe how you toiled, sweated, *bled* for your project, and then... you reveal its glory in the next row of images.
-
-
-
- You can also have artistically styled 2/3 + 1/3 images, like these.
-
-
-
-The code is simple.
-Just wrap your images with `
` and place them inside `
` (read more about the Bootstrap Grid system).
-To make images responsive, add `img-fluid` class to each; for rounded corners and shadows use `rounded` and `z-depth-1` classes.
-Here's the code for the last row of images above:
-
-{% raw %}
-```html
-
-```
-{% endraw %}
diff --git a/_projects/4_project.md b/_projects/4_project.md
deleted file mode 100644
index edb5dd2..0000000
--- a/_projects/4_project.md
+++ /dev/null
@@ -1,80 +0,0 @@
----
-layout: page
-title: project 4
-description: another without an image
-img:
-importance: 3
-category: fun
----
-
-Every project has a beautiful feature showcase page.
-It's easy to include images in a flexible 3-column grid format.
-Make your photos 1/3, 2/3, or full width.
-
-To give your project a background in the portfolio page, just add the img tag to the front matter like so:
-
- ---
- layout: page
- title: project
- description: a project with a background image
- img: /assets/img/12.jpg
- ---
-
-
- Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.
-
- This image can also have a caption. It's like magic.
-
-
-You can also put regular text between your rows of images.
-Say you wanted to write a little bit about your project before you posted the rest of the images.
-You describe how you toiled, sweated, *bled* for your project, and then... you reveal its glory in the next row of images.
-
-
-
- You can also have artistically styled 2/3 + 1/3 images, like these.
-
-
-
-The code is simple.
-Just wrap your images with `
` and place them inside `
` (read more about the Bootstrap Grid system).
-To make images responsive, add `img-fluid` class to each; for rounded corners and shadows use `rounded` and `z-depth-1` classes.
-Here's the code for the last row of images above:
-
-{% raw %}
-```html
-
-```
-{% endraw %}
diff --git a/_projects/5_project.md b/_projects/5_project.md
deleted file mode 100644
index efd9b6c..0000000
--- a/_projects/5_project.md
+++ /dev/null
@@ -1,80 +0,0 @@
----
-layout: page
-title: project 5
-description: a project with a background image
-img: assets/img/1.jpg
-importance: 3
-category: fun
----
-
-Every project has a beautiful feature showcase page.
-It's easy to include images in a flexible 3-column grid format.
-Make your photos 1/3, 2/3, or full width.
-
-To give your project a background in the portfolio page, just add the img tag to the front matter like so:
-
- ---
- layout: page
- title: project
- description: a project with a background image
- img: /assets/img/12.jpg
- ---
-
-
- Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.
-
- This image can also have a caption. It's like magic.
-
-
-You can also put regular text between your rows of images.
-Say you wanted to write a little bit about your project before you posted the rest of the images.
-You describe how you toiled, sweated, *bled* for your project, and then... you reveal its glory in the next row of images.
-
-
-
- You can also have artistically styled 2/3 + 1/3 images, like these.
-
-
-
-The code is simple.
-Just wrap your images with `
` and place them inside `
` (read more about the Bootstrap Grid system).
-To make images responsive, add `img-fluid` class to each; for rounded corners and shadows use `rounded` and `z-depth-1` classes.
-Here's the code for the last row of images above:
-
-{% raw %}
-```html
-
-```
-{% endraw %}
diff --git a/_projects/6_project.md b/_projects/6_project.md
deleted file mode 100644
index 9a95d6e..0000000
--- a/_projects/6_project.md
+++ /dev/null
@@ -1,80 +0,0 @@
----
-layout: page
-title: project 6
-description: a project with no image
-img:
-importance: 4
-category: fun
----
-
-Every project has a beautiful feature showcase page.
-It's easy to include images in a flexible 3-column grid format.
-Make your photos 1/3, 2/3, or full width.
-
-To give your project a background in the portfolio page, just add the img tag to the front matter like so:
-
- ---
- layout: page
- title: project
- description: a project with a background image
- img: /assets/img/12.jpg
- ---
-
-
- Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.
-
- This image can also have a caption. It's like magic.
-
-
-You can also put regular text between your rows of images.
-Say you wanted to write a little bit about your project before you posted the rest of the images.
-You describe how you toiled, sweated, *bled* for your project, and then... you reveal its glory in the next row of images.
-
-
-
- You can also have artistically styled 2/3 + 1/3 images, like these.
-
-
-
-The code is simple.
-Just wrap your images with `
` and place them inside `
` (read more about the Bootstrap Grid system).
-To make images responsive, add `img-fluid` class to each; for rounded corners and shadows use `rounded` and `z-depth-1` classes.
-Here's the code for the last row of images above:
-
-{% raw %}
-```html
-