5 citations · 6 across the 3 of their papers we have counts for
3 papers
Girsanov Reweighting for Uncertainty Propagation in Rare-Event Kinetics
Leonard Moracchini, Thomas Pigeon, Morgane Menz +3
Machine-learning interatomic potentials (MLIPs) have become a powerful tool for rare event sampling in molecular dynamics, offering near ab initio accuracy at a fraction of the com…
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
Jingang Qu, Thibault Faney, Ze Wang +3
Due to domain shifts, machine learning systems typically struggle to generalize well to new domains that differ from those of training data, which is what domain generalization (DG…
PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations
Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne +2
Phase equilibrium calculations are an essential part of numerical simulations of multi-component multi-phase flow in porous media, accounting for the largest share of the computati…