74 citations · 100 across the 4 of their papers we have counts for
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physics.comp-ph2019★ 20 cited
Deep learning Markov and Koopman models with physical constraints
Andreas Mardt, Luca Pasquali, Frank Noé +1
The long-timescale behavior of complex dynamical systems can be described by linear Markov or Koopman models in a suitable latent space. Recent variational approaches allow the lat…
q-bio.BM2019
Deflation reveals dynamical structure in nondominant reaction coordinates
Brooke E. Husic, Frank Noé
The output of molecular dynamics simulations is high-dimensional, and the degrees of freedom among the atoms are related in intricate ways. Therefore, a variety of analysis framewo…