Poster "physics informed neural networks" Papers

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ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning

Nilo Schwencke, Cyril Furtlehner

ICLR 2025arXiv:2412.10782
5
citations

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Qiang Liu, Mengyu Chu, Nils Thuerey

ICLR 2025arXiv:2408.11104
23
citations

FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks

Chenhui Xu, Dancheng Liu, Amir Nassereldine et al.

NEURIPS 2025arXiv:2505.10949
1
citations

PIED: Physics-Informed Experimental Design for Inverse Problems

Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.

ICLR 2025arXiv:2503.07070
1
citations

Learning from Integral Losses in Physics Informed Neural Networks

Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al.

ICML 2024arXiv:2305.17387
6
citations