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
☆17Updated 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☆45Updated 2 years ago
- A PyTorch library for two-sample tests☆242Updated 2 years ago
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago
- L1-regularized least squares with PyTorch☆68Updated 2 years ago
- ☆32Updated 2 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated this week
- Code for the intrinsic dimensionality estimate of data representations☆83Updated 5 years ago
- Optimal Transport Dataset Distance☆168Updated 3 years ago
- python implementation of Sinkhorn-Knopp☆33Updated 7 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data …☆10Updated last year
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 4 years ago
- ☆18Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 6 months ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Large-scale uncertainty benchmark in deep learning.☆63Updated 3 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆88Updated 3 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆635Updated last week
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 3 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆30Updated 2 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 7 months ago
- Multislice PHATE for tensor embeddings☆60Updated 4 years ago