 Learning minimal representations of stochastic processes with variational autoencodersPhysical Review E (PRE), 2023 |
 Learning Lattice Quantum Field Theories with Equivariant Continuous
FlowsSciPost Physics (SciPost Phys.), 2022 |
 Stochastic normalizing flows as non-equilibrium transformationsJournal of High Energy Physics (JHEP), 2022 |
 Emergence of a finite-size-scaling function in the supervised learning
of the Ising phase transitionJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2020 |
 Discovering Symmetry Invariants and Conserved Quantities by Interpreting
Siamese Neural NetworksPhysical Review Research (PRResearch), 2020 |
