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15 Results
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Workshop
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PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof · Eldad Haber · Eran Treister |
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Poster
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Thu 9:00 |
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent Yiping Lu · Jose Blanchet · Lexing Ying |
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Poster
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Wed 14:00 |
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong |
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Poster
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Thu 9:00 |
MAgNet: Mesh Agnostic Neural PDE Solver Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline |
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Poster
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M2N: Mesh Movement Networks for PDE Solvers Wenbin Song · Mingrui Zhang · Joseph G Wallwork · Junpeng Gao · Zheng Tian · Fanglei Sun · Matthew Piggott · Junqing Chen · Zuoqiang Shi · Xiang Chen · Jun Wang |
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Poster
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Tue 14:00 |
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions Masanobu Horie · NAOTO MITSUME |
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Poster
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Wed 9:00 |
Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli · Stefano Massaroli · Federico Berto · Jinkyoo Park · Tri Dao · Christopher Ré · Stefano Ermon |
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Workshop
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Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions Masanobu Horie · NAOTO MITSUME |
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Workshop
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Fri 4:25 |
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers Namgyu Kang · Byeonghyeon Lee · Youngjoon Hong · Seok-Bae Yun · Eunbyung Park |
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Workshop
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Multi-Fidelity Transfer Learning for accurate database PDE approximation Wenzhuo LIU · Mouadh Yagoubi · Marc Schoenauer · David Danan |
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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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Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |