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9 Results
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Poster
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A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs Songming Liu · Hao Zhongkai · Chengyang Ying · Hang Su · Jun Zhu · Ze Cheng |
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Poster
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Thu 9:00 |
NOMAD: Nonlinear Manifold Decoders for Operator Learning Jacob Seidman · Georgios Kissas · Paris Perdikaris · George J. Pappas |
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Poster
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Wed 9:00 |
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics Cristopher Salvi · Maud Lemercier · Andris Gerasimovics |
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Workshop
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Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors Bilal Thonnam Thodi · Sai Venkata Ramana Ambadipudi · Saif Eddin Jabari |
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Workshop
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Fri 4:10 |
Provable Active Learning of Neural Networks for Parametric PDEs Aarshvi Gajjar · Chinmay Hegde · Christopher Musco |
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Workshop
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Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · Alain Rakotomamonjy · Patrick Gallinari |
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Workshop
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Surfing on the Neural Sheaf Julian Suk · Lorenzo Giusti · Tamir Hemo · Miguel Lopez · Marco La Vecchia · Konstantinos Barmpas · Cristian Bodnar |
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Workshop
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Provable Active Learning of Neural Networks for Parametric PDEs Aarshvi Gajjar · Chinmay Hegde · Christopher Musco |
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Workshop
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Optimal Control of PDEs Using Physics-Informed Neural Networks Saviz Mowlavi · Saleh Nabi |