104 citations · 324 across the 14 of their papers we have counts for
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cond-mat.stat-mech2020★ 23 cited
Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz
Corneel Casert, Tom Vieijra, Stephen Whitelam +1
We use a neural network ansatz originally designed for the variational optimization of quantum systems to study dynamical large deviations in classical ones. We obtain the scaled c…
physics.comp-ph2020★ 13 cited
Optical lattice experiments at unobserved conditions and scales through generative adversarial deep learning
Corneel Casert, Kyle Mills, Tom Vieijra +2
Machine learning provides a novel avenue for the study of experimental realizations of many-body systems, and has recently been proven successful in analyzing properties of experim…