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Poster
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Thu 14:00 |
CoNSoLe: Convex Neural Symbolic Learning Haoran Li · Yang Weng · Hanghang Tong |
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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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Workshop
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Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation Karan Shah · Patrick Stiller · Nico Hoffmann · Attila Cangi |
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Workshop
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Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators Haydn Maust · Zongyi Li · Yixuan Wang · Anima Anandkumar |
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Poster
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Thu 14:00 |
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? Chuwei Wang · Shanda Li · Di He · Liwei Wang |
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Workshop
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Improving Generalization with Physical Equations Antoine Wehenkel · Jens Behrmann · Hsiang Hsu · Guillermo Sapiro · Gilles Louppe · Joern-Henrik Jacobsen |
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Workshop
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Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo · Qiang Liu · Yuntian Chen · Wenbo Hu · TIAN TIAN · Jun Zhu |
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Poster
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Wed 9:00 |
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? Leon Gerard · Michael Scherbela · Philipp Marquetand · Philipp Grohs |
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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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Poster
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Wed 14:00 |
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari |
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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 |