GAMES-UChile / Wasserstein-Fourier
☆13Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Wasserstein-Fourier
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆39Updated 4 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆12Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Code for Hidden Markov Nonlinear ICA☆23Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆43Updated 5 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆65Updated 2 years ago
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 2 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆30Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆30Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆23Updated last year
- ☆21Updated 11 months ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆71Updated 2 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 8 months ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆50Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆31Updated 3 years ago
- PyTorch implementations of the beta divergence loss.☆9Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆132Updated 6 months ago
- ☆60Updated 3 years ago
- Contrastive Learning for Time Series☆38Updated last year
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 5 months ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Updated 6 months ago
- ☆15Updated last year
- Discovering directional relations via minimum predictive information regularization☆23Updated 4 years ago
- ☆22Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆95Updated 3 years ago