Gabriel Stoltz

1. Machine learning force fields and coarse-grained variables in molecular\n dynamics: application to materials and biological systems
   2020/04/15 by Paraskevi Gkeka, Gabriel Stoltz, Gkeka, Paraskevi +31 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #Biomolecules (q-bio.BM) #Computational Physics (physics.comp-ph) #FOS: Biological sciences #FOS: Physical sciences #Machine Learning in Materials Science #Mass Spectrometry Techniques and Applications #Protein Structure and Dynamics
2. A spectral approach to the narrow escape problem in the disk
   2024/01/12 by Tony Lelièvre, Lelièvre, Tony, Mohamad Rachid +3 · 2 citations
   Mathematics · Biochemistry, Genetics and Molecular Biology · Medicine · #Stochastic processes and statistical mechanics #Diffusion and Search Dynamics #Mathematical and Theoretical Epidemiology and Ecology Models
3. Unbiasing Hamiltonian Monte Carlo algorithms for a general Hamiltonian\n function
   2023/03/28 by Tony Lelièvre, Régis Santet, Lelièvre, Tony +3 · 1 citation
   Mathematics · #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration #Stochastic processes and statistical mechanics
4. Multiple projection MCMC algorithms on submanifolds
   2020/03/20 by Tony Lelièvre, Gabriel Stoltz, Lelièvre, Tony +3 · 1 citation
   Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference
5. On the diffusive-mean field limit of a kinetic weakly interacting particle system
   2026/07/17 by Raphaël Gastaldello, Grigorios A. Pavliotis, Gabriel Stoltz +1
   #math.AP #math.PR
6. Approximating committor functions: Objective functions and training data sampling
   2026/07/23 by Thomas Pigeon, Gabriel Stoltz, Tony Lelièvre
   #physics.chem-ph