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physics.comp-ph2021
Model discovery in the sparse sampling regime
Gert-Jan Both, Georges Tod, Remy Kusters
To improve the physical understanding and the predictions of complex dynamic systems, such as ocean dynamics and weather predictions, it is of paramount interest to identify interp…
physics.comp-ph2019★ 10 cited
Temporal Normalizing Flows
Gert-Jan Both, Remy Kusters
Analyzing and interpreting time-dependent stochastic data requires accurate and robust density estimation. In this paper we extend the concept of normalizing flows to so-called tem…
physics.comp-ph2019
DeepMoD: Deep learning for Model Discovery in noisy data
Gert-Jan Both, Subham Choudhury, Pierre Sens +1
We introduce DeepMoD, a Deep learning based Model Discovery algorithm. DeepMoD discovers the partial differential equation underlying a spatio-temporal data set using sparse regres…