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Tim De Ryck — most-cited papers & profile · AI for Science
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Tim De Ryck
3
papers ·
73
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning
2024 · 39 citations
Generic bounds on the approximation error for physics-informed (and) operator learning
2022 · 29 citations
An operator preconditioning perspective on training in physics-informed machine learning
2023 · 5 citations
Top co-authors
Siddhartha Mishra
· 2
Emmanuel de B\'ezenac
· 1
Florent Bonnet
· 1
Siddhartha Mishra
· 1
Topics
Physics ML
Math & Equations