ermongroup / smile-mi-estimator
PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
☆73Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for smile-mi-estimator
- A Tensorflow implementation Mutual Information estimation methods☆45Updated last year
- ☆87Updated 2 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆177Updated 6 years ago
- ☆57Updated last year
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆55Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆31Updated 3 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 4 years ago
- ☆68Updated 5 years ago
- Difference-of-Entropies (DoE) Estimator☆24Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- ☆39Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Mutual Information Gradient Estimation☆12Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆203Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆55Updated 6 years ago
- ☆65Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated last year
- ☆22Updated 3 years ago
- PyTorch Implementation of Neural Statistician☆59Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- VAEs and nonlinear ICA: a unifying framework☆30Updated 4 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆37Updated 3 months ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆98Updated 4 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆21Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆98Updated 4 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆47Updated 4 years ago