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678 Results
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Poster
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Fri 11:00 |
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Hao Zhongkai · Jiachen Yao · Chang Su · Hang Su · Ziao Wang · Fanzhi Lu · Zeyu Xia · Yichi Zhang · Songming Liu · Lu Lu · Jun Zhu |
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Workshop
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PINNfluence: Influence Functions for Physics-Informed Neural Networks Jonas Naujoks · Aleksander Krasowski · Moritz Weckbecker · Thomas Wiegand · Sebastian Lapuschkin · Wojciech Samek · René P. Klausen |
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability William Hofgard |
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Workshop
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History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs) Jassem Abbasi · Ben Moseley · Takeshi Kurotori · Ameya Jagtap · Anthony Kovscek · Aksel Hiorth · Pål Andersen |
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Poster
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Thu 16:30 |
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks Felix Dangel · Johannes Müller · Marius Zeinhofer |
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Workshop
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Physics-informed reduced order model with conditional neural fields Minji Kim · Tianshu Wen · Kookjin Lee · Youngsoo Choi |
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Poster
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Fri 16:30 |
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang · Wanjia Zhao · Jingdong Gao · Ziniu Hu · Xiao Luo · Yadi Cao · Yuanzhou Chen · Yizhou Sun · Wei Wang |
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Workshop
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AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling Siddhant Dutta · Nouhaila Innan · Sadok Ben Yahia · Muhammad Shafique |
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Workshop
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Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks Anthony Baez · Wang Zhang · Ziwen Ma · Subhro Das · Lam Nguyen · Luca Daniel |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |
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Poster
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Fri 11:00 |
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported Ethan Harvey · Mikhail Petrov · Michael Hughes |
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Poster
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Fri 11:00 |
Task-Agnostic Machine-Learning-Assisted Inference Jiacheng Miao · Qiongshi Lu |