Arnaud Guillin

Orcid: 0000-0003-2393-6242

According to our database1, Arnaud Guillin authored at least 9 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case.
J. Mach. Learn. Res., 2024

ML-GLE: A machine learning enhanced Generalized Langevin equation framework for transient anomalous diffusion in polymer dynamics.
J. Comput. Phys., 2024

Central Limit Theorem for Bayesian Neural Network trained with Variational Inference.
CoRR, 2024

Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Some remarks on the effect of the Random Batch Method on phase transition.
CoRR, 2023

Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2014
Dimensional contraction via Markov transportation distance.
J. Lond. Math. Soc., 2014

Functional inequalities via Lyapunov conditions.
Proceedings of the Optimal Transport - Theory and Applications., 2014

2008
Adaptive importance sampling in general mixture classes.
Stat. Comput., 2008


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