ymy4323460 / CaSN
☆12Updated last year
Alternatives and similar repositories for CaSN:
Users that are interested in CaSN are comparing it to the libraries listed below
- ☆26Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Updated 2 years ago
- ☆24Updated last week
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated last year
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆22Updated last year
- ☆36Updated 9 months ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆89Updated last year
- [ICLR'24] Official PyTorch Implementation of ContraLSP☆29Updated last year
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- ☆26Updated 3 years ago
- Time series explainability via self-supervised model behavior consistency☆47Updated last year
- ☆30Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- ☆16Updated 3 years ago
- ☆32Updated 6 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- ☆12Updated last year
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- AAAI 2024 Accept☆16Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 10 months ago
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆21Updated 5 months ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆39Updated last year
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆14Updated 7 months ago
- ☆17Updated 4 months ago