Search Results for author: Marcello Massimo Negri

Found 4 papers, 1 papers with code

Lagrangian Flow Networks for Conservation Laws

no code implementations26 May 2023 F. Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth

We introduce Lagrangian Flow Networks (LFlows) for modeling fluid densities and velocities continuously in space and time.

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.

Meta-Learning

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