Thèse, AO, Artificial Intelligence, Computer Science, Intelligence artificielle

Natural gradients and kernel methods for Physics Informed Neural Networks (PINNs)

Nilo Schwencke. Natural gradients and kernel methods for Physics Informed Neural Networks (PINNs). Machine Learning [cs.LG]. Université Paris-Saclay, 2025. English. ⟨NNT : 2025UPASG087⟩. ⟨tel-05474926v2⟩

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