moellenh

bayesduality.github.io

dp4ml.github.io

flatgan

PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"

bayesian-sam

Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.

ivon

IVON optimizer for neural networks based on variational learning.

ivon-experiments

liegroups

Code for "The Lie-Group Bayesian Learning Rule", AISTATS 2023.

team-approx-bayes.github.io

Code for team webpage

proxprop

Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps

prost

A fast and flexible convex optimization framework based on proximal splitting

moellenh/flatgan

PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"