Search Results for author: Monika Nagy-Huber

Found 2 papers, 0 papers with code

Mesh-free Eulerian Physics-Informed Neural Networks

no code implementations3 Jun 2022 Fabricio Arend Torres, Marcello Massimo Negri, Monika Nagy-Huber, Maxim Samarin, Volker Roth

Physics-informed Neural Networks (PINNs) have recently emerged as a principled way to include prior physical knowledge in form of partial differential equations (PDEs) into neural networks.

Learning Invariances with Generalised Input-Convex Neural Networks

no code implementations14 Apr 2022 Vitali Nesterov, Fabricio Arend Torres, Monika Nagy-Huber, Maxim Samarin, Volker Roth

These networks represent functions that are guaranteed to have connected level sets forming smooth manifolds on the input space.

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