Computational graph completion

DOI10.1007/s40687-022-00320-8zbMath1497.68464arXiv2110.10323OpenAlexW3205503552MaRDI QIDQ2671739

Houman Owhadi

Publication date: 3 June 2022

Published in: Research in the Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.10323

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Knowledge representation (68T30)

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Learning dynamical systems from data: a simple cross-validation perspective. III: Irregularly-sampled time series ⋮ Learning dynamical systems from data: a simple cross-validation perspective. IV: Case with partial observations ⋮ Gaussian process hydrodynamics ⋮ Kernel methods are competitive for operator learning ⋮ A note on microlocal kernel design for some slow-fast stochastic differential equations with critical transitions and application to EEG signals ⋮ One-shot learning of stochastic differential equations with data adapted kernels ⋮ Do ideas have shape? Idea registration as the continuous limit of artificial neural networks

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