150 citations · 347 across the 14 of their papers we have counts for
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Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
Arnaud Descours, Tom Huix, Arnaud Guillin +3
We provide a rigorous analysis of training by variational inference (VI) of Bayesian neural networks in the two-layer and infinite-width case. We consider a regression problem with…
Necessary and sufficient symmetries in Event-Chain Monte Carlo with generalized flows and Application to hard dimers
Tristan Guyon, Arnaud Guillin, Manon Michel
Event-Chain Monte Carlo (ECMC) methods generate continuous-time and non-reversible Markov processes which often display significant accelerations compared to reversible counterpart…
Jamming pair of general run-and-tumble particles: Exact results, symmetries and steady-state universality classes
Leo Hahn, Arnaud Guillin, Manon Michel
While run-and-tumble particles are a foundational model for self-propelled particles as bacteria or Janus particles, the analytical derivation of their steady state from the micros…
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
Vincent Souveton, Arnaud Guillin, Jens Jasche +2
Normalizing Flows (NF) are Generative models which transform a simple prior distribution into the desired target. They however require the design of an invertible mapping whose Jac…