Publications

Publications

Preprints

• Activity-driven clustering of jamming run-and-tumble particles: Exact three-body steady state by dynamical symmetry L. Hahn, A. Guillin, and M. Michel
  arXiv 2509.08945

• Convergence of non-reversible Markov processes via lifting and flow Poincaré inequality
  A. Eberle, A. Guillin, L. Hahn, F. Lörler, and M. Michel
  arXiv 2503.04238

Journal papers

• Central Limit Theorem for Bayesian Neural Networks trained with Variational Inference
  A. Descours, T. Huix, A. Guillin, M. Michel, É. Moulines, and B. Nectoux
  arXiv 2406.09048, to appear in Stoch PDE: Anal Comp

• Long time analysis of a pair of on-lattice and continuous run-and-tumble particles with hard-core interactions
  A. Guillin, L. Hahn, and M. Michel
  Journal of Statistical Physics 192(9), 123 (2025)

• Bosonized 1D quantum systems through enhanced Event-Chain Monte Carlo
  O. Bouverot-Dupuis, A. Rosso, and M. Michel
  Physical Review B 112, 035148 (2025)

• Jamming pair of general run-and-tumble particles: Exact results, symmetries and steady-state universality classes
  L. Hahn, A. Guillin, and M. Michel
  Journal of Physics A: Mathematical and Theoretical (to appear, 2025)

• Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
  V. Souveton, A. Guillin, J. Jasche, G. Lavaux, and M. Michel
  Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) (2024)

• Necessary and sufficient symmetries in Event-Chain Monte Carlo with generalized flows and application to hard dimers
  T. Guyon, A. Guillin, and M. Michel
  The Journal of Chemical Physics 160 (2), 024117 (2024) Editor’s Pick and 2023 JCP Emerging Investigators Special Collection

• Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
  A. Descours, T. Huix, A. Guillin, M. Michel, É. Moulines, and B. Nectoux
  Proceedings of Thirty Sixth Conference on Learning Theory (COLT) (2023)

• Law of large numbers and central limit theorem for wide two-layer neural networks: the mini-batch and noisy case
  A. Descours, A. Guillin, M. Michel, and B. Nectoux
  Journal of Machine Learning Research 25 (208), 1-76 (2024)

• PDMP characterisation of event-chain Monte Carlo algorithms for particle systems
  A. Monemvassitis, A. Guillin, and M. Michel
  Journal of Statistical Physics 190, 66 (2023)

• Loop-Cluster Monte Carlo Algorithm for Classical Statistical Models
  L. Zhang, M. Michel, E. M. Elçi, and Y. Deng
  Physical Review Letters 125 (20), 200603 (2020)

Code repository

ECMC for bosonized 1D quantum

Repository

Public version of the code presented in “Bosonized 1D quantum systems through enhanced Event-Chain Monte Carlo”, Oscar Bouverot-Dupuis, Alberto Rosso, and Manon Michel.

ECMC and Rotational flows for particle systems

Repository

Public version of the code presented in “Necessary and sufficient symmetries in Event-Chain Monte Carlo with generalized flows and Application to hard dimers”, Tristan Guyon, Arnaud Guillin, Manon Michel

Fixed-kinetic Normalized Hamiltonian Flows

Repository

Public version of the code presented in “Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity”, Vincent Souveton, Arnaud Guillin, Jens Jasche, Guilhem Lavaux, Manon Michel.