449 citations · 831 across the 30 of their papers we have counts for
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physics.comp-ph2021★ 2 cited
Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning
Felix Dietrich, Alexei Makeev, George Kevrekidis +4
We identify effective stochastic differential equations (SDE) for coarse observables of fine-grained particle- or agent-based simulations; these SDE then provide useful coarse surr…
physics.comp-ph2019★ 116 cited
On Learning Hamiltonian Systems from Data
Tom Bertalan, Felix Dietrich, Igor Mezić +1
Concise, accurate descriptions of physical systems through their conserved quantities abound in the natural sciences. In data science, however, current research often focuses on re…