AMLab-Amsterdam / MNF_VBNNLinks
Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
☆65Updated 5 years ago
Alternatives and similar repositories for MNF_VBNN
Users that are interested in MNF_VBNN are comparing it to the libraries listed below
Sorting:
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 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
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 10 months ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)