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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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Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
Miro Miranda · Marcela Charfuelan · Andreas Dengel
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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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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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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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Poster
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Wed 16:30
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The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
Andrea Bonfanti · Giuseppe Bruno · Cristina Cipriani
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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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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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Poster
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Thu 16:30
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Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
Felix Dangel · Johannes Müller · Marius Zeinhofer
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