CVxTz / IntegratedGradientsPytorchLinks
Integrated gradients attribution method implemented in PyTorch
☆26Updated 4 years ago
Alternatives and similar repositories for IntegratedGradientsPytorch
Users that are interested in IntegratedGradientsPytorch are comparing it to the libraries listed below
Sorting:
- Bayesian Attention Modules☆35Updated 4 years ago
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 11 months ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 7 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 11 months ago
- ☆18Updated 3 years ago
- [ICML'24] Official PyTorch Implementation of TimeX++☆25Updated 7 months ago
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆27Updated 2 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- Pytorch Implementation of the Nonlinear Information Bottleneck☆40Updated 11 months ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling☆22Updated 8 months ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Updated 3 years ago
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- Source code for the paper "CAT: Interpretable Concept-based Taylor Additive Models".☆19Updated 10 months ago
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Updated 5 years ago
- ☆11Updated 2 years ago
- Correlated Graph Neural Networks☆27Updated 5 years ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆58Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- ☆20Updated 4 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆51Updated 3 years ago