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awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
https://github.com/qingsongedu/awesome-AI-for-time-series-papers

Last synced: 5 days ago
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AI4TS Tutorials and Surveys
- AI4TS Surveys
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  - \[paper\ - series-transformers-review)
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  - \[paper\ - lab/time-series-ptms)
  - \[paper\ - SSL4TS)
  - \[paper\ - GNN4TS)
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  - \[paper\ - TimeSeries-SpatioTemporal-LM-LLM)
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- AI4TS Tutorials
  - \[Link\
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  - \[Link1\
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AI4TS Papers 2021
- Misc 2021
  - \[paper\
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  - \[paper\ - traff-graph) [\[official code2\]](https://github.com/deepkashiwa20/dl-traff-grid)
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  - \[paper\
  - \[paper\ - research/soft-dtw-divergences)
  - \[paper\ - Time-Series)
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  - \[paper\ - explain)
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  - \[paper\ - explain)
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- NeurIPS 2021
  - \[paper\ - rnn)
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  - \[paper\ - Sun/AdjustAutocorrelation)
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  - \[paper\ - flows-experiments)
  - \[paper\ - temporal-gps)
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  - \[paper\ - flows-experiments)
  - \[paper\ - temporal-gps)
  - \[paper\ - DTW)
  - \[paper\ - temporal-gps)
- KDD 2021
  - \[paper\ - coder/STGODE)
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  - \[paper\
  - \[paper\ - Scale-One-Class-Recurrent-Neural-Networks)
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  - \[paper\
  - \[paper\ - seanet)
- ICML 2021
  - \[paper\ - ts)
  - \[paper\ - hierarchical-ICML-2021)
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  - \[paper\ - GCNETs/Z-GCNETs)
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  - \[paper\ - cxu/EnbPI)
  - \[paper\ - AD)
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  - \[paper\ - Reprogramming)
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  - \[paper\ - research/WhittleNetworks)
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- ICLR 2021
  - \[paper\ - ts)
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  - \[paper\ - lab/mTAN)
  - \[paper\ - flows)
  - \[paper\ - 08-00)-05-08-00UTC-2993-differentiable_.pdf) [\[official code\]](https://github.com/diozaka/diffseg)
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- AAAI 2021
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  - \[paper\ - GDN)
  - \[paper\ - gaga)
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  - \[paper\ - ailin/GDN)
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  - \[paper\ - Pool)
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  - \[paper\ - Group/SASA)
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  - \[paper\ - DL/Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation)
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- IJCAI 2021
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  - \[paper\ - spec-ker-matching)
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- SIGMOD VLDB ICDE 2021
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  - \[paper\ - period)
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AI4TS Papers 2023
- ICML 2023
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- ICLR 2023
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  - \[paper\ - Series-Library)
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- KDD 2023
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  - \[paper\ - DI-ML/KDD2023-DCdetector)
- AAAI 2023
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- NeurIPS 2023
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AI4TS Papers 2022
- ICML 2022
  - \[paper\ - benton/volt)
  - \[paper\ - DI-ML/ICML2022-FEDformer)
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  - \[paper\ - recurrent-units)
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- NeurIPS 2022
  - \[paper\ - DI-ML/NeurIPS2022-FiLM)
  - \[paper\ - lab/SCINet)
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  - \[paper\
  - \[paper\
  - \[paper\ - harvard/TFC-pretraining)
- ICLR 2022
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  - \[paper\ - memnet)
  - \[paper\ - Transformer)
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  - \[paper\ - kim/RevIN)
  - \[paper\ - ejfV1YtRwjf_L0AOsNa?dl=0)
- AAAI 2022
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  - \[Demo paper\
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  - \[paper\ - DA)
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  - \[paper\ - umn/SSF-MIP)
  - \[paper\ - tao/clcrn)
  - \[paper\ - NCDE)
  - \[paper\ - Ji/STDEN)
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- IJCAI 2022
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  - \[paper\
  - \[paper\ - ijcai22-)
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- SIGMOD VLDB ICDE 2022
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  - \[paper\ - wa)
  - \[paper\ - paper)
  - \[paper\ - UAD)
  - \[paper\ - qore/tranad)
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  - \[paper\
  - \[paper\ - kai.com/code/metro_single_s.zip)
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- Misc 2022
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  - \[paper\
  - \[paper\ - probabilistic-forecasting)
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  - \[paper\ - DI-ML/CIKM22-TFAD)
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  - \[paper\ - DI-ML/CIKM22-TFAD)
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- KDD 2022
  - \[code\
AI4TS Papers 201X-2020 Selected
- NeurIPS 201X-2020
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  - \[paper\ - leguen/STRIPE)
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  - \[paper\ - Evaluator)
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  - \[paper\ - ts)
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  - \[paper\
  - \[paper\ - Evaluator)
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  - \[paper\ - lab/DTCR)
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  - \[paper\
  - \[paper\ - Time-Series-Imputation-with-Generative-Adversarial-Networks)
  - \[paper\ - kidger/NeuralCDE)
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  - \[paper\
  - \[paper\ - Interpretability-Benchmark)
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  - \[paper\
  - \[paper\ - Link/UnsupervisedScalableRepresentationLearningTimeSeries)
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  - \[paper\ - Time)
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- KDD 201X-2020
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  - \[paper\ - robust-stl)
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  - \[paper\ - matsubara/orbitmap)
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  - \[paper\ - Frequency-Memory-stock-prediction)
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- AAAI 201X-2020
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  - \[paper\ - r-pytorch)
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  - \[paper\ - dmm)
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  - \[paper\ - ARIMA)
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- ICML 201X-2020
  - \[paper\
  - \[paper\ - encoder-decoder)
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  - \[paper\ - Series-Deconfounder)
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  - \[paper\
  - \[paper\ - Huang/Causal-discovery-and-forecasting-in-nonstationary-environments)
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  - \[paper\
  - \[paper\ - dtw)
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  - \[paper\ - sri/probabilistic-forecasts-attacks)
  - \[paper\
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- ICLR 201X-2020
  - \[paper\
  - \[paper\
  - \[paper\ - lab/interp-net)
  - \[paper\ - VAE)
  - \[paper\ - BEATS)
- IJCAI 201X-2020
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  - \[paper\ - dual-stage-attention-based-recurrent-neural)
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  - \[paper\ - 18)
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  - \[paper\ - bingo/BeatGAN)
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- SIGMOD VLDB ICDE 201X-2020
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  - \[paper\ - Model-Selection-for-PUTSC)
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  - \[paper\ - vldb20)
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- Misc 201X-2020
  - \[paper\
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  - \[paper\ - VAE)
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  - \[paper\
  - \[paper\ - Hierarchical-Transformer-based-Multi-task-Learning-for-Volatility-Prediction)
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  - \[paper\ - gat-pytorch)
  - \[paper\ - find-anomalies/MERLIN)
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  - \[paper\
AI4TS Papers 2024
- ICLR 2024
  - \[paper\ - llm/)
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  - \[paper\ - liu/ContraLSP)
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- WWW 2024
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- AAAI 2024
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Programming Languages

Python 1 HTML 1

Categories

AI4TS Papers 201X-2020 Selected 159 AI4TS Papers 2021 157 AI4TS Tutorials and Surveys 99 AI4TS Papers 2022 94 AI4TS Papers 2023 69 AI4TS Papers 2024 60

Sub Categories

AI4TS Surveys 86 Misc 2021 49 ICLR 2024 43 NeurIPS 201X-2020 39 NeurIPS 2023 31 AAAI 201X-2020 28 AAAI 2021 28 ICLR 2022 26 NeurIPS 2021 26 IJCAI 201X-2020 23 Misc 201X-2020 21 ICLR 2023 19 AAAI 2022 18 KDD 201X-2020 17 ICML 2021 16 ICML 201X-2020 15 ICML 2022 14 AI4TS Tutorials 13 ICML 2023 13 AAAI 2024 12 Misc 2022 12 SIGMOD VLDB ICDE 201X-2020 11 SIGMOD VLDB ICDE 2022 11 KDD 2021 11 ICLR 2021 9 IJCAI 2021 9 SIGMOD VLDB ICDE 2021 9 NeurIPS 2022 6 IJCAI 2022 6 WWW 2024 5 ICLR 201X-2020 5 KDD 2023 4 AAAI 2023 2 KDD 2022 1

Keywords

time-series 1 signal-processing 1 rootcauseanalysis 1 forecasting 1 deep-learning 1 data-mining 1 autoscaling 1 anomaly-detection 1