antoninschrab / mmdagg-paperLinks
Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim, Albert, Laurent, Guedj and Gretton: https://arxiv.org/abs/2110.15073
☆16Updated last year
Alternatives and similar repositories for mmdagg-paper
Users that are interested in mmdagg-paper are comparing it to the libraries listed below
Sorting:
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- python implementation of Sinkhorn-Knopp☆33Updated 7 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- Closed form Entropic OT for balanced and unbalanced Gaussians☆17Updated 3 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 2 months ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- ☆54Updated 11 months ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- ☆28Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 11 months ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated last year
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆25Updated 5 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago