iamalexkorotin / Wasserstein2Barycenters
PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
☆21Updated 2 years ago
Related projects: ⓘ
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆19Updated last week
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 4 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆41Updated 3 years ago
- ☆23Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆24Updated 2 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago
- Featurized Density Ratio Estimation☆19Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated 6 months ago
- ☆13Updated 5 years ago
- ☆19Updated 4 years ago
- Kernel Continual Learning☆7Updated 2 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆34Updated last year
- ☆31Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆49Updated last year
- ☆13Updated last year
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆27Updated 5 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆34Updated 2 years ago
- Robust Optimal Transport code☆40Updated last year
- ☆34Updated last month
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆20Updated 4 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆16Updated 3 years ago
- ☆13Updated last year
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 2 years ago