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stat.ML2021★ 1 cited
Sparsistent Model Discovery
Georges Tod, Gert-Jan Both, Remy Kusters
Discovering the partial differential equations underlying spatio-temporal datasets from very limited and highly noisy observations is of paramount interest in many scientific field…
stat.ML2021
Fully differentiable model discovery
Gert-Jan Both, Remy Kusters
Model discovery aims at autonomously discovering differential equations underlying a dataset. Approaches based on Physics Informed Neural Networks (PINNs) have shown great promise,…