zhendong3wang / counterfactual-explanations-for-forecastingLinks
Counterfactual Explanations for Time Series Forecasting (ICDM 2023)
☆14Updated last year
Alternatives and similar repositories for counterfactual-explanations-for-forecasting
Users that are interested in counterfactual-explanations-for-forecasting are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.☆62Updated 3 years ago
- Source code of paper: Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer☆14Updated last year
- Contains the implementation of the EDAIN and EDAIN-KL methods proposed in our paper. The research was also part of the thesis I wrote as …☆15Updated last year
- ☆13Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆79Updated last year
- repository for accepted paper in BigData 2022 conference☆13Updated 2 years ago
- ☆16Updated this week
- ☆48Updated 2 years ago
- The source code of paper "Multi-step-ahead Prediction from Short-term Data by Delay-Embedding-based Forecast Machine"☆16Updated last year
- A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"☆14Updated 3 years ago
- [ICLR 2024] Official code of RobustTSF☆22Updated last year
- Official implementation of "DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting" (NeurIPS 2024)☆17Updated 11 months ago
- This is a tensorflow-keras implementation of our paper "Attention Based Dynamic Graph Learning Framework for Asset Pricing"☆14Updated 3 years ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆81Updated 3 years ago
- ☆71Updated last year
- Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.☆40Updated last year
- ☆38Updated last year
- Task-Aware Reconstruction for Time-Series Transformer☆62Updated 2 years ago
- ☆15Updated 8 months ago
- The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"☆13Updated 8 months ago
- Unofficial PyTorch implementation of Domain Adaptation Forecaster☆37Updated last year
- ☆40Updated last year
- NECPlus☆22Updated last year
- Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting☆41Updated 4 years ago
- This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastin…☆83Updated 7 months ago
- Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.☆85Updated 9 months ago
- ☆56Updated 3 years ago
- Fourier Spatial-Temporal Network for Multivariate Time Series Forecasting☆11Updated 2 years ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆153Updated last year
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆75Updated 3 years ago