neuroinfo-os / deep-bottleneck
Repository of the Study Project "Understanding learning in deep neural networks with the help of information theory"
☆24Updated 2 years ago
Alternatives and similar repositories for deep-bottleneck:
Users that are interested in deep-bottleneck are comparing it to the libraries listed below
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Nonlinear Information Bottleneck☆54Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- ☆26Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- ☆45Updated 5 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- ☆152Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- ☆133Updated 7 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆39Updated 7 months ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago