bunnech / gwgan
Learning Generative Models across Incomparable Spaces (ICML 2019)
☆26Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for gwgan
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆20Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- Code for Sliced Gromov-Wasserstein☆66Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- ☆36Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆55Updated 6 years ago
- Python implementation of smooth optimal transport.☆56Updated 3 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 4 years ago
- ☆52Updated 3 months ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 3 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- ☆11Updated 6 years ago
- ☆39Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 7 months ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago
- ☆65Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- ☆31Updated 4 years ago
- ☆23Updated 3 years ago
- code submission to NeurIPS2019☆13Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆53Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆31Updated 3 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 3 weeks ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆45Updated 4 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 6 months ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year