"physics informed neural networks" Papers
4 papers found
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
Nilo Schwencke, Cyril Furtlehner
ICLR 2025posterarXiv:2412.10782
4
citations
FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks
Chenhui Xu, Dancheng Liu, Amir Nassereldine et al.
NeurIPS 2025posterarXiv:2505.10949
1
citations
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.
ICLR 2025posterarXiv:2503.07070
1
citations
Learning from Integral Losses in Physics Informed Neural Networks
Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al.
ICML 2024poster
6
citations