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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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Poster
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Wed 11:00
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Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck · Arno Solin · Theodoros Damoulas
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Workshop
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SepONet: Efficient Large-Scale Physics-Informed Operator Learning
Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang
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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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Survey: Adaptive Physics-informed Neural Networks
Edgar Torres Rios · Mathias Niepert
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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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Poster
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Fri 16:30
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CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
Jiakai Zhang · Qihe Chen · Yan Zeng · Wenyuan Gao · Xuming He · Zhijie Liu · Jingyi Yu
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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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Workshop
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A Physics-Informed Autoencoder-NeuralODE Framework (Phy-ChemNODE) for Learning Complex Fuel Combustion Kinetics
Tadbhagya Kumar · Pinaki Pal · Anuj Kumar
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Workshop
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Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Chuwei Wang · Julius Berner · Zongyi Li · Di Zhou · Jiayun (Peter) Wang · H. Jane Bae · Animashree Anandkumar
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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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