langevin-dynamics topic

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

JavierAntoran

Langevin dynamics based tours of data, in Javascript with R wrapper.

pfh

A demo shows how to combine Langevin dynamics with score matching for generative models.

enhuiz

[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically

bahjat-kawar

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More...

konstantinos-p

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

SHI-Yu-Zhe

Sampling-based approach to analyse neural networks using TensorFlow

alan-turing-institute