Search Results for author: Marcello Massimo Negri

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.

Meta-learning richer priors for VAEs

no code implementations pproximateinference AABI Symposium 2022 Marcello Massimo Negri, Vincent Fortuin, Jan Stuehmer

Variational auto-encoders have proven to capture complicated data distributions and useful latent representations, while advances in meta-learning have made it possible to extract prior knowledge from data.


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