Search Results for author:
Found 3 papers, 1 papers with code
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
We provide a rigorous analysis of training by variational inference (VI) of Bayesian neural networks in the two-layer and infinite-width case.
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
Normalizing Flows (NF) are Generative models which are particularly robust and allow for exact sampling of the learned distribution.
Event-chain Monte Carlo for classical continuous spin models
We apply the event-chain Monte Carlo algorithm to classical continuum spin models on a lattice and clarify the condition for its validity.
Statistical Mechanics
Cannot find the paper you are looking for? You can
Submit a new open access paper.
