idiap / nvibLinks
☆10Updated 4 months ago
Alternatives and similar repositories for nvib
Users that are interested in nvib are comparing it to the libraries listed below
Sorting:
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Updated 3 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 11 months ago
- Implementation of Implicit Graphon Neural Representation☆12Updated 2 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆13Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆11Updated last month
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- ☆37Updated 4 years ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated 2 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- ☆13Updated 2 years ago
- Official code for Fisher information embedding for node and graph learning (ICML 2023)☆19Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 5 months ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated last year
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Updated last year
- ☆13Updated 4 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- ☆15Updated 6 months ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- ☆37Updated last year
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year