MichaelArbel / GeneralizedEBMLinks
☆54Updated 11 months ago
Alternatives and similar repositories for GeneralizedEBM
Users that are interested in GeneralizedEBM are comparing it to the libraries listed below
Sorting:
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 11 months ago
- ☆63Updated last year
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- ☆38Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 11 months ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆69Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- code submission to NeurIPS2019☆13Updated last year
- ☆30Updated 4 years ago
- ☆68Updated 2 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- ☆24Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago