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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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Workshop
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Modeling Pollution Spread with Obstructions using Physics-Informed Neural Networks
Yash Ranjith
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Workshop
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Dynamic Curriculum Regularization for Enhanced Training of Physics-Informed Neural Networks
Callum Duffy · Gergana V Velikova
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Poster
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Thu 16:30
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Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang · Dongyoung Lim
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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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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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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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Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
Taiki Miyagawa · Takeru Yokota
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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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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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Survey: Adaptive Physics-informed Neural Networks
Edgar Torres Rios · Mathias Niepert
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