myshkov / bnn-analysis
☆15Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for bnn-analysis
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆64Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- ☆12Updated 6 years ago
- ☆26Updated 5 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 4 years ago
- A Python implementation of the gradient REBAR estimator.☆45Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆23Updated 7 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆27Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago