iamalexkorotin / Wasserstein2BarycentersLinks
PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
☆23Updated 3 years ago
Alternatives and similar repositories for Wasserstein2Barycenters
Users that are interested in Wasserstein2Barycenters are comparing it to the libraries listed below
Sorting:
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 10 months ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆46Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- ☆54Updated 11 months ago
- [ICML 2021] Kernel Continual Learning☆7Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆24Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- ☆13Updated 6 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆14Updated 3 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- ☆21Updated 3 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆69Updated last year
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- ☆12Updated 2 years ago
- ☆20Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Quantile risk minimization☆24Updated 11 months ago
- ☆18Updated 2 years ago
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Updated 2 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆45Updated 2 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- ☆30Updated 4 years ago