DAMO-DI-ML's repositories
NeurIPS2023-One-Fits-All
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
AI-for-Time-Series-Papers-Tutorials-Surveys
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
CIKM22-TFAD
Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis
AAAI2022-HCM
Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
NeurIPS2022-FiLM
Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
KDD2022-Tutorial-Time-Series
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
KDD2022-Quatformer
Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting
ICDM2023-Tutorial-Time-Series
ICDM’23 Tutorial, “Robust Time Series Analysis and Applications: A Interdisciplinary Approach”
WeatherODE
The official code for "Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting".
Neurips2021-Submodular-Ruleset
Source code of NeurIPS'21 paper: Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
XAI-for-Time-Series
The official hub for our team dedicated to explainable AI (XAI) for time series, providing valuable resources to enhance understanding this critical field.