518 citations · 1.5k across the 21 of their papers we have counts for
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stat.ML2017★ 518 cited
VAMPnets: Deep learning of molecular kinetics
Andreas Mardt, Luca Pasquali, Hao Wu +1
There is an increasing demand for computing the relevant structures, equilibria and long-timescale kinetics of biomolecular processes, such as protein-drug binding, from high-throu…
stat.ML2017★ 45 cited
Variational approach for learning Markov processes from time series data
Hao Wu, Frank Noé
Inference, prediction and control of complex dynamical systems from time series is important in many areas, including financial markets, power grid management, climate and weather…