artemyk / nonlinearIBLinks
Nonlinear Information Bottleneck
☆54Updated 3 years ago
Alternatives and similar repositories for nonlinearIB
Users that are interested in nonlinearIB are comparing it to the libraries listed below
Sorting:
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- ☆40Updated 6 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆129Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆46Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- Deep Neural Networks Entropy from Replicas☆34Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆46Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆25Updated 7 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year