Neural Galerkin schemes with active learning for high-dimensional evolution equations
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Publication:6117685
DOI10.1016/j.jcp.2023.112588arXiv2203.01360OpenAlexW4387910988MaRDI QIDQ6117685
Benjamin Peherstorfer, Joan Bruna, Eric Vanden-Eijnden
Publication date: 21 February 2024
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2203.01360
Monte Carlopartial differential equationsmachine learningscientific computingactive learningdeep neural networks
Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)
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