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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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Workshop
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Unsupervised Physics-Informed Super-Resolution of Strong Lensing Images for Sparse Datasets
Anirudh Shankar · Michael Toomey · Sergei Gleyzer
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Workshop
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Taylor Mode Neural Operators: Enhancing Computational Efficiency in Physics-Informed Neural Operators
Anas Jnini · Flavio Vella
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Workshop
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ClariPhy: Physics-Informed Image Deblurring with Transformers for Hydrodynamic Instability Analysis
Shai Stamler-Grossman · Nadav Schneider · Gershon Hanoch · Gal Oren
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Workshop
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Survey: Adaptive Physics-informed Neural Networks
Edgar Torres Rios · Mathias Niepert
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Workshop
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Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems
Félix Chavelli · Zi-Yu Khoo · Dawen Wu · Jonathan Low · Stéphane Bressan
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Workshop
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FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
Milad Ramezankhani · Rishi Parekh · Anirudh Deodhar · Dagnachew Birru
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Workshop
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Hamiltonian Matching for Symplectic Neural Integrators
Priscilla Canizares · Davide Murari · Carola-Bibiane Schönlieb · Ferdia Sherry · Zakhar Shumaylov
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Workshop
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Exact and approximate error bounds for physics-informed neural networks
Augusto Chantada · Pavlos Protopapas · Luca Gomez Bachar · Susana Landau · Claudia Scóccola
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Poster
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Thu 11:00
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RoPINN: Region Optimized Physics-Informed Neural Networks
Haixu Wu · Huakun Luo · Yuezhou Ma · Jianmin Wang · Mingsheng Long
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Workshop
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Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
Miro Miranda · Marcela Charfuelan · Andreas Dengel
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Poster
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Fri 11:00
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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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