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NIPS 2024 part
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lixus7 authored Dec 10, 2024
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums:100+ | <img width=150/> | <img width=220/> | | | <img width=300/> |
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | SSCNN | [Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting](https://openreview.net/forum?id=54NSHO0lFe) | [Pytorch](https://github.com/JLDeng/SSCNN) <br>![Stars](https://img.shields.io/github/stars/JLDeng/SSCNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/JLDeng/SSCNN?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | PGN | [PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting](https://openreview.net/forum?id=ypEamFKu2O&noteId=jpzTU4OIxe) | [Pytorch](https://github.com/Water2sea/TPGN) <br>![Stars](https://img.shields.io/github/stars/Water2sea/TPGN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Water2sea/TPGN?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | CATS | [Are Self-Attentions Effective for Time Series Forecasting?](https://openreview.net/forum?id=iN43sJoib7&noteId=VrwF0T4VGH) | [Pytorch](https://github.com/dongbeank/CATS) <br>![Stars](https://img.shields.io/github/stars/dongbeank/CATS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/dongbeank/CATS?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | Attraos | [Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective](https://openreview.net/forum?id=fEYHZzN7kX) | [Pytorch](https://github.com/CityMind-Lab/NeurIPS24-Attraos) <br>![Stars](https://img.shields.io/github/stars/CityMind-Lab/NeurIPS24-Attraos?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/CityMind-Lab/NeurIPS24-Attraos?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | Time-FFM | [Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting](https://openreview.net/forum?id=HS0faHRhWD) | [Pytorch](https://github.com/yuppielqx/Time-FFM) <br>![Stars](https://img.shields.io/github/stars/yuppielqx/Time-FFM?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/yuppielqx/Time-FFM?color=critical&style=social) | NIPS 2024
| Multivariable | ImageBind <br> IMU2CLIP <br> IMUGPT <br> HARGPT <br> LLaVA | UniMTS | [UniMTS: Unified Pre-training for Motion Time Series](https://openreview.net/forum?id=DpByqSbdhI) | [Pytorch](https://github.com/xiyuanzh/UniMTS) <br>![Stars](https://img.shields.io/github/stars/xiyuanzh/UniMTS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/xiyuanzh/UniMTS?color=critical&style=social) | NIPS 2024
| Less data | Electricity <br> Solar <br> Traffic <br> PEMS-BAY <br> METR-LA | ChronoEpilogi | [ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions](https://openreview.net/forum?id=y8HUXkwAOg) | [Pytorch](https://github.com/ev07/ChronoEpilogi) <br>![Stars](https://img.shields.io/github/stars/ev07/ChronoEpilogi?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ev07/ChronoEpilogi?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | RATD | [Retrieval-Augmented Diffusion Models for Time Series Forecasting](https://openreview.net/forum?id=RVZfra6sZo) | [Pytorch](https://github.com/stanliu96/RATD) <br>![Stars](https://img.shields.io/github/stars/stanliu96/RATD?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/stanliu96/RATD?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | DDN | [DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting](https://openreview.net/forum?id=RVZfra6sZo) | [Pytorch](https://github.com/Hank0626/DDN) <br>![Stars](https://img.shields.io/github/stars/Hank0626/DDN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Hank0626/DDN?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | BSA | [Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting](https://openreview.net/forum?id=dxyNVEBQMp) | [Pytorch](https://github.com/DJLee1208/BSA_2024) <br>![Stars](https://img.shields.io/github/stars/DJLee1208/BSA_2024?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/DJLee1208/BSA_2024?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | DeformableTST | [DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching](https://openreview.net/forum?id=B1Iq1EOiVU) | [Pytorch](https://github.com/luodhhh/DeformableTST) <br>![Stars](https://img.shields.io/github/stars/luodhhh/DeformableTST?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/luodhhh/DeformableTST?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | SOFTS | [SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion](https://openreview.net/forum?id=89AUi5L1uA) | [Pytorch](https://github.com/Secilia-Cxy/SOFTS) <br>![Stars](https://img.shields.io/github/stars/Secilia-Cxy/SOFTS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Secilia-Cxy/SOFTS?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | | [Scaling Law for Time Series Forecasting](https://openreview.net/forum?id=Cr2jEHJB9q) | [Pytorch](https://github.com/JingzheShi/ScalingLawForTimeSeriesForecasting) <br>![Stars](https://img.shields.io/github/stars/JingzheShi/ScalingLawForTimeSeriesForecasting?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/JingzheShi/ScalingLawForTimeSeriesForecasting?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | AutoTimes | [AutoTimes: Autoregressive Time Series Forecasters via Large Language Models](https://openreview.net/forum?id=HS0faHRhWD) | [Pytorch](https://github.com/thuml/AutoTimes) <br>![Stars](https://img.shields.io/github/stars/thuml/AutoTimes?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuml/AutoTimes?color=critical&style=social) | NIPS 2024
| Multi Task | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | UniTS | [UniTS: A Unified Multi-Task Time Series Model](https://openreview.net/forum?id=nBOdYBptWW) | [Pytorch](https://github.com/mims-harvard/UniTS) <br>![Stars](https://img.shields.io/github/stars/mims-harvard/UniTS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/mims-harvard/UniTS?color=critical&style=social) | NIPS 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | SparseTSF | [SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters](https://openreview.net/forum?id=54NSHO0lFe) | [Pytorch](https://github.com/lss-1138/SparseTSF) <br>![Stars](https://img.shields.io/github/stars/lss-1138/SparseTSF?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/lss-1138/SparseTSF?color=critical&style=social) | ICML 2024
| Multivariable | Electricity <br> PEMSD7M <br> BikeNYC <br> [TimesNet_data](https://github.com/thuml/Time-Series-Library) | SCNN | [Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting](https://ieeexplore.ieee.org/document/10457027) | [Pytorch](https://github.com/JLDeng/SCNN) <br>![Stars](https://img.shields.io/github/stars/JLDeng/SCNN?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/JLDeng/SCNN?color=critical&style=social) | TKDE 2024
| Multivariable | [TimesNet_data](https://github.com/thuml/Time-Series-Library) | iTransformer | [iTransformer: Inverted Transformers Are Effective for Time Series Forecasting](https://openreview.net/forum?id=JePfAI8fah) | [Pytorch](https://github.com/thuml/iTransformer) <br>![Stars](https://img.shields.io/github/stars/thuml/iTransformer?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuml/iTransformer?color=critical&style=social) | ICLR 2024
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| Task | Data | Model | Paper | Code | Publication |
| :-: | :-: | :-: | :-: | :-: | - |
| Paper Nums: 6 | <img width=90/> | | | | <img width=320/> |
| TS Generation | Electricity <br> Traffic <br> Exchange <br> M4 <br> UberTLC <br> Solar <br> KDDCup <br> Wikipedia | ANT | [ANT: Adaptive Noise Schedule for Time Series Diffusion Models](https://openreview.net/forum?id=1ojAkTylz4) | [glounts](https://github.com/seunghan96/ANT) <br>![Stars](https://img.shields.io/github/stars/seunghan96/ANT?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/seunghan96/ANT?color=critical&style=social) | NIPS 2024
| TS Generation | Sines <br> Stocks <br> ETTh <br> MuJoCo <br> Energy <br> Solar <br> fMRI | SDformer | [SDformer: Similarity-driven Discrete Transformer For Time Series Generation](https://openreview.net/forum?id=ZKbplMrDzI) | [Pytorch](https://anonymous.4open.science/r/SDformer-main/README.md) | NIPS 2024
| TS Generation | Sines <br> Stocks <br> ETTh <br> MuJoCo <br> Energy <br> Solar <br> fMRI | Diffusion-TS | [Diffusion-TS: Interpretable Diffusion for General Time Series Generation](https://openreview.net/forum?id=4h1apFjO99) | [Pytorch](https://github.com/Y-debug-sys/Diffusion-TS) <br>![Stars](https://img.shields.io/github/stars/Y-debug-sys/Diffusion-TS?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Y-debug-sys/Diffusion-TS?color=critical&style=social) | ICLR 2024
| TS Generation | FRED-MD <br> NN5 Daily <br> Temp Rain <br> Solar Weekly | LS4 | [Deep Latent State Space Models for Time-Series Generation](https://proceedings.mlr.press/v202/zhou23i.html) | [Pytorch](https://github.com/thuwuyinjun/DGM2) <br>![Stars](https://img.shields.io/github/stars/thuwuyinjun/DGM2?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/thuwuyinjun/DGM2?color=critical&style=social) | ICML 2023
| TS Generation | He ́non maps <br> Lorenz <br> fMRI <br> EEG| CR-VAE | [Causal Recurrent Variational Autoencoder for Medical Time Series Generation](https://ojs.aaai.org/index.php/AAAI/article/view/26031) | [Pytorch](https://github.com/hongmingli1995/CR-VAE) <br>![Stars](https://img.shields.io/github/stars/hongmingli1995/CR-VAE?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/hongmingli1995/CR-VAE?color=critical&style=social) | AAAI 2023
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