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Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks
v1v2 (latest)

Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks

27 May 2025
Anas Jnini
Flavio Vella
ArXiv (abs)PDFHTMLGithub (33650★)

Papers citing "Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks"

2 / 2 papers shown
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks
Anas Jnini
Lorenzo Breschi
Flavio Vella
AI4CE
373
2
0
02 Mar 2025
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operatorsNeural Information Processing Systems (NeurIPS), 2024
Zekun Shi
Zheyuan Hu
Min Lin
Kenji Kawaguchi
1.0K
17
0
27 Nov 2024
1
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