2 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2022★ 2 cited
Generative methods for sampling transition paths in molecular dynamics
Tony Lelièvre, Geneviève Robin, Inass Sekkat +2
Molecular systems often remain trapped for long times around some local minimum of the potential energy function, before switching to another one -- a behavior known as metastabili…
stat.ML2021★ 1 cited
Quantifying the mini-batching error in Bayesian inference for Adaptive Langevin dynamics
Inass Sekkat, Gabriel Stoltz
Bayesian inference allows to obtain useful information on the parameters of models, either in computational statistics or more recently in the context of Bayesian Neural Networks.…