wgrathwohl / LSD
Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
☆49Updated 4 years ago
Alternatives and similar repositories for LSD:
Users that are interested in LSD are comparing it to the libraries listed below
- ☆53Updated 6 months ago
- ☆63Updated last year
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated last year
- ☆31Updated 4 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆49Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 6 months ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 6 months ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆11Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- ☆58Updated last year
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- ☆23Updated 3 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- ☆26Updated 6 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 3 years ago
- ☆21Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- ☆67Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- ☆24Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 3 years ago
- code submission to NeurIPS2019☆13Updated last year
- Scaled MMD GAN☆36Updated 5 years ago