4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
Patrick Egenlauf, Iva Březinová, Sabine Andergassen +1
Out-of-equilibrium quantum many-body systems exhibit rapid correlation buildup that underlies many emerging phenomena. Exact wave-function methods to describe this scale exponentia…
cond-mat.dis-nn2024★ 4 cited
Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium
Francesco Carnazza, Federico Carollo, Sabine Andergassen +3
We develop a machine learning algorithm to infer the emergent stochastic equation governing the evolution of an order parameter of a many-body system. We train our neural network t…