44 citations · 116 across the 9 of their papers we have counts for
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cs.LG2022★ 2 cited
Deconfounding Imitation Learning with Variational Inference
Risto Vuorio, Pim de Haan, Johann Brehmer +3
Standard imitation learning can fail when the expert demonstrators have different sensory inputs than the imitating agent. This is because partial observability gives rise to hidde…
hep-lat2022★ 37 cited
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows
Mathis Gerdes, Pim de Haan, Corrado Rainone +2
We propose a novel machine learning method for sampling from the high-dimensional probability distributions of Lattice Field Theories, which is based on a single neural ODE layer a…