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20182026
most citedOn the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures

2 citations · 6 across the 7 of their papers we have counts for

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Showing 2022 · cs.LGShow all

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cs.LG2022★ 2 cited

Mesh-free Eulerian Physics-Informed Neural Networks

Fabricio Arend Torres, Marcello Massimo Negri, Monika Nagy-Huber +2

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…

cs.LG2022

Learning Invariances with Generalised Input-Convex Neural Networks

Vitali Nesterov, Fabricio Arend Torres, Monika Nagy-Huber +2

Considering smooth mappings from input vectors to continuous targets, our goal is to characterise subspaces of the input domain, which are invariant under such mappings. Thus, we w…