Sparsely constrained neural networks for model discovery of PDEs

Gert-Jan Both, Gijs Vermarien, Remy Kusters

Sparse regression on a library of candidate features has developed as the prime method to discover the partial differential equation underlying a spatio-temporal data-set. These fe…