Haixu Wu
- Papers
- 10
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Authored papers
10RigidFormer: Learning Rigid Dynamics using Transformers
arXiv 2026
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
timemixer-decomposable-multiscale-mixing-for
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
arXiv 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
arXiv 2024
Solving High-Dimensional PDEs with Latent Spectral Models
arXiv 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
arXiv 2023
Flowformer: Linearizing Transformers with Conservation Flows
arXiv 2022
Supported Policy Optimization for Offline Reinforcement Learning
arXiv 2022
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
arXiv 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
NeurIPS 2021 12
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