0.5.0

What's Changed

• add glossary by @marcocuturi in #594
• introduce sinkdiv simplified API, expand glossary with sinkhorn divergence and LR sinkhorn by @marcocuturi in #596
• propagate sinkdiv to Monge gap implementation by @marcocuturi in #597
• add Hungarian solver from optax by @marcocuturi in #598
• Feature/refactor initializers by @michalk8 in #599
• Fix Wrong implementation of u_t(x|z) in Brownian Bridge by @selmanozleyen in #600
• Fix CI by @michalk8 in #601
• Feature/refactor relative epsilon by @michalk8 in #602
• Remove source/target masks by @michalk8 in #603

Full Changelog: 0.4.9...0.5.0

0.4.9

What's Changed

• refactor sinkhorn_divergence by @marcocuturi in #577
• automatic scaling of epsilon using std instead of mean by default. by @marcocuturi in #578
• Feature/refactor was solver by @michalk8 in #580
• Fix dtype promotion in Sinkhorn by @michalk8 in #583
• expose SinkhornDivergenceOutput by @marcocuturi in #584
• Switch to jax.random.key by @michalk8 in #586
• fix default for intermediate quadratic layers in ICNN by @marcocuturi in #587
• Enable 3.13 CI by @michalk8 in #589
• Feature/batched vmap by @michalk8 in #588

Full Changelog: 0.4.8...0.4.9

OTT 0.4.8

What's Changed

• Fix low-rank convergence criterion by @michalk8 in #547
• Fix/quadratic pytree by @michalk8 in #555
• Fix/gw to lr by @michalk8 in #558
• TI transport map by @michalk8 in #559
• Update tutorial structure by @michalk8 in #560
• Fix Grid.prepare_divergences by @michalk8 in #563
• Raise error when instatiating cost/kernel for a grid by @michalk8 in #565
• correct convergence criterion for GW by @marcocuturi in #566
• Feature/progot by @michalk8 in #567
• Fix/univariate non ti by @michalk8 in #569
• sink div for LR by @marcocuturi in #568
• Add tutorial for unbalanced OT by @nvesseron in #291
• Edits to ProgOT by @pkassraie in #570
• Feature/update progot by @michalk8 in #571
• update mm-sink tutorial and plot by @zoepiran in #572
• Feature/update prox by @michalk8 in #575
• implements sliced W by @marcocuturi in #576

Full Changelog: 0.4.7...0.4.8

OTT 0.4.7

What's Changed

• add dropout to VelocityField and OTFM/GENOT by @MUCDK in #521
• Update icnn.py by @marcocuturi in #524
• Update Codecov Action to v4 by @michalk8 in #523
• Add h-transform for TI costs by @michalk8 in #525
• Update univariate.py by @marcocuturi in #527
• Fix/h legendre tests by @michalk8 in #529
• Update costs.py by @marcocuturi in #532
• Debiased property change by @michalk8 in #536
• Don't stop grads w.r.t. the parametrized costs by @michalk8 in #544
• univariate dual vectors for arbitrary sizes by @marcocuturi in #505
• Fix low-rank convergence criterion by @michalk8 in #547
• Fixing typos in documentation by @pkassraie in #548
• add MMSinkhorn solver by @marcocuturi in #549
• Force ICNN to adopt default initialization of its own layers by @Algue-Rythme in #551
• Deprecate Python 3.8 by @michalk8 in #554
• New neural OT solver ENOT by @nazarblch in #503
• Refactor regularized TI costs by @michalk8 in #553

New Contributors

• @Algue-Rythme made their first contribution in #551
• @nazarblch made their first contribution in #503

Full Changelog: 0.4.6...0.4.7

OTT 0.4.6

What's Changed

• Enable M1 runner by @michalk8 in #486
• Potentials as tuple by @michalk8 in #488
• Remove bool option for scale_cost by @michalk8 in #492
• Use more iterations for LR-GW by @michalk8 in #494
• update sinhorn divergence gradient flow nb by @marcocuturi in #497
• add barycenter operator for (convex) translation invariant costs by @marcocuturi in #498
• Addition of gangbo-mccann map estimators using twist operator by @marcocuturi in #500
• Add sparse Chebyshev approximation by @guillaumehu in #502
• Fix/io callback by @michalk8 in #506
• Maint/third lower bound by @michalk8 in #507
• Remove epsilon scheduler in GW by @michalk8 in #508
• Fix SCOT tutorial imports and data by @michalk8 in #511
• restructuring neural models + addition of OT-FM and GENOT by @MUCDK in #468
• compute_sparse_laplacian gives int32 vs int64 index mismatch by @selmanozleyen in #510
• Update One_Sinkhorn.ipynb by @pkassraie in #515
• Update actions' versions by @michalk8 in #516
• Fix/batched non sym cost by @michalk8 in #518
• bug fix: avoid mixing up linear and quadratic in genot by @soerenab in #517

New Contributors

• @selmanozleyen made their first contribution in #510
• @pkassraie made their first contribution in #515
• @soerenab made their first contribution in #517

Full Changelog: 0.4.5...0.4.6

Neural module refactoring

What's Changed

• Re-run and refactoring of some docs/tutorials + minor changes by @marcocuturi in #431
• Feature/quadratic solve by @michalk8 in #433
• Fix n_iters by @michalk8 in #437
• Fix/rank2 init by @michalk8 in #442
• nn.dataset.GaussianMixture: minor fix to the docstring and standard deviation parameter name by @bamos in #445
• introduce multivariate cdf / quantiles by @marcocuturi in #447
• Feature/update jax version by @michalk8 in #448
• Histogram Transport Implementation by @Daniel-Packer in #444
• Doc refresh by @marcocuturi in #450
• Fix/jax prng deprecation by @michalk8 in #455
• Added CDF distance to Univariate Solver by @Daniel-Packer in #451
• Use PyPI trusted publishers by @michalk8 in #459
• first lb -> third lb by @Daniel-Packer in #462
• Restructure neural module by @michalk8 in #466
• refactoring UnivariateSolver by @marcocuturi in #472
• Feature/geodesic sinkhorn by @guillaumehu in #457
• Enable 3.12 CI by @michalk8 in #475
• Feature/apply lse mode by @michalk8 in #474
• Fix/neural docs by @michalk8 in #473
• Add quadratic layers and enhance ICNNs, update tutorial by @nvesseron in #477
• Fix heat scaling by @guillaumehu in #481
• Add low-rank kernel geometry by @michalk8 in #440

New Contributors

• @Daniel-Packer made their first contribution in #444
• @guillaumehu made their first contribution in #457
• @nvesseron made their first contribution in #477

Full Changelog: 0.4.4...0.4.5

Unbalanced low-rank Gromov-Wasserstein

What's Changed

• introduce new norm operator that can differentiate through lambda x: norm(x-x) + lighter tests across the board by @marcocuturi in #411
• Feature/better io callbacks by @michalk8 in #413
• Feature/optional dependencies by @michalk8 in #412
• Update pre-commits by @michalk8 in #416
• Feature/move solve by @michalk8 in #418
• Feature/lineax ridge by @michalk8 in #424
• Feature/ulrgw by @michalk8 in #410

Full Changelog: 0.4.3...0.4.4

Add top-k mask and some minor fixes

What's Changed

• A few changes to increase Coverage by @marcocuturi in #390
• rename ent_reg_cost in sinkhorn solver by @marcocuturi in #391
• Increase coverage of NN modules by including init in tests by @marcocuturi in #392
• add tests for plots in potentials by @marcocuturi in #393
• test Plot class in tools module to increase coverage by @marcocuturi in #394
• Add soft topk_mask operator, fix ranks docs and tests by @marcocuturi in #396
• Add relative_epsilon option to GromovWasserstein by @michalk8 in #355
• [ENH]: Fix misc typos in soft_sort doc by @pierreablin in #397
• Update docs by @michalk8 in #398
• add ability to add titles on animation plots by @marcocuturi in #400
• Update contributing visibility by @michalk8 in #399
• update nb by @marcocuturi in #403
• Fix not being able to jit the soft quantile by @michalk8 in #408
• Test default_progress_fn, skip types.py by @michalk8 in #404

Full Changelog: 0.4.2...0.4.3

Unbalanced LR Sinkhorn + New MBO Estimators + minor fixes

What's Changed

• Add a tuto about sparse monge displacements by @pierreablin in #374
• introduce ent_reg_cost / kl_reg_cost in Sinkhorn to clarify which is returned to the user in SinkhornOutput objects. by @marcocuturi in #376
• more precise pydocs for #376 by @marcocuturi in #377
• Update sinkhorn.py by @marcocuturi in #378
• Compute multiple soft-quantiles in one execution without using vmap by @marcocuturi in #382
• incorporate feedback in #382 by @marcocuturi in #385
• Update soft_sort.py by @marcocuturi in #387
• Add elastic-net type costs with an orthogonal linear transformation of the input before it is fed into the regularizer by @michalk8 in #383
• Add monge gap by @theouscidda6 in #361
• Feature/unbalanced LR sinkhorn by @michalk8 in #379
• changes in definition of Monge gap by @marcocuturi in #389
• fix #375, converged flag when predefined number of iterations. by @marcocuturi in #386

Full Changelog: 0.4.1...0.4.2

0.4.1 Various new features (kernel steps for LR Sinkhon, lineax implicit diff), solvers must now be jitted.

Highlights:

• reformatted tutorial NBs
• progressbars for Sinkhorn
• low-rank Sinkhorn solvers can run in kernel mode
• discrete_barycenter is refactored using the Solver/Problem model, rather than a simple function.
• soft-DTW added as a cost function.
• Sparsity inducing (in displacements) costs, see https://arxiv.org/abs/2302.04065

What's Changed

• Fix typo: Wasserstein-4 -> Wasserstein-2 by @bamos in #249
• Fix/warnings lint by @michalk8 in #260
• Addresses #229: Copyrights unification by @AWehenkel in #261
• fixed the docs about the implicit_diff argument by @gjhuizing in #270
• Correct package requirements for tests. by @AWehenkel in #271
• Add pre-commit CI cache by @michalk8 in #279
• Fix flake8 D10{1,2,3} errors by @giovp in #269
• Added CostFn and Plot to the documentation by @gjhuizing in #288
• add primal_cost property to output of GW, to compute cost without any regularization. by @marcocuturi in #286
• add ruff and remove redundant pre-commits by @giovp in #278
• Remove matplotlib dependency by @michalk8 in #304
• Fix/epsilon regularization by @michalk8 in #310
• Address #252 - Make soft ranking notebook self contained by @AWehenkel in #301
• Fix small TODOs by @michalk8 in #311
• Add CI tests for upstream JAX by @michalk8 in #313
• Subsample initializer by @JTT94 in #309
• feat: add progress reporting to Sinkhorn by @bosr in #228
• Refactor discrete_barycenter as solver, cf. issue #255 by @marcocuturi in #316
• Make random seeding consistent with PRNG keys everywhere instead of seeds by @othmanesebbouh in #290
• Add Soft-DTW cost function by @michalk8 in #318
• Fix/sinkdiv hessian by @michalk8 in #321
• Enable D* checks by @michalk8 in #319
• Fix spelling by @michalk8 in #323
• Remove ignoring passed params in ICNN by @michalk8 in #325
• Fix spelling by @michalk8 in #326
• neuraldual: fix issues with objective-based amortization and no-fine-tuning by @bamos in #327
• Parameter to make line strength proportional to coupling strength in Plot by @gjhuizing in #280
• Remove sparse option in Graph geometry by @michalk8 in #329
• gh: refactor community files by @SauravMaheshkar in #331
• Have a simpler "getting started" notebook by @pierreablin in #296
• update NBs by @marcocuturi in #332
• Docs/fix minor issues by @michalk8 in #334
• Small fix in soft_sort.quantile docstring by @pierreablin in #336
• Fix/jit inside jit by @michalk8 in #335
• typos by @marcocuturi in #339
• Remove assertions in cost functions by @michalk8 in #340
• Fix EntropicPotentials's test by @michalk8 in #343
• Added tutorial on Sinkhorn divergence by @gjhuizing in #282
• Pin chex version in GPU CI by @michalk8 in #346
• Feature/unscaled gw cost by @michalk8 in #348
• Fix typos in notebook by @michalk8 in #350
• docs/progress bar by @bosr in #347
• Fix/default prng by @michalk8 in #353
• tracking progress of gromov-wasserstein by @bosr in #351
• Store individual costs to in the GW barycenter by @michalk8 in #354
• Update brain notebook by @michalk8 in #358
• add dtype to kernel by @MUCDK in #365
• Neural OT notebook: add more 2d datasets by @bamos in #303
• New kernel lr by @meyerscetbon in #324
• Fine grained control of Bures barycenters by @marcocuturi in #366
• use lineax to solve linear system in implicit diff by @marcocuturi in #370
• Fix .readthedocs.yaml by @michalk8 in #372

New Contributors

• @AWehenkel made their first contribution in #261
• @gjhuizing made their first contribution in #270
• @giovp made their first contribution in #269
• @bosr made their first contribution in #228
• @othmanesebbouh made their first contribution in #290
• @pierreablin made their first contribution in #296

Full Changelog: 0.4.0...0.4.1