ermongroup / f-dreLinks
Featurized Density Ratio Estimation
☆20Updated 4 years ago
Alternatives and similar repositories for f-dre
Users that are interested in f-dre are comparing it to the libraries listed below
Sorting:
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated 11 months ago
- ☆54Updated 11 months ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 4 months ago
- ☆63Updated last year
- Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770☆14Updated 6 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- ☆13Updated 6 years ago
- ☆30Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆36Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated 2 years ago