sebastian-claici / StochasticWassersteinBarycenters
Implementation of the paper 'Stochastic Wasserstein Barycenters'
☆10Updated 6 years ago
Alternatives and similar repositories for StochasticWassersteinBarycenters:
Users that are interested in StochasticWassersteinBarycenters are comparing it to the libraries listed below
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- ☆10Updated 7 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- ☆13Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A Pytorch implementation of the KWNG estimator☆14Updated 9 months ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 6 months ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- ☆30Updated 4 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 7 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- ☆64Updated last year
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 4 years ago
- PyTorch implementation of Stein Variational Gradient Descent