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Poster
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Wed 14:00
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Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data
Lena Podina · Brydon Eastman · Mohammad Kohandel
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Workshop
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Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
Amartya Mukherjee · Jun Liu
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Poster
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Thu 16:30
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Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
Shibo Li · Michael Penwarden · Yiming Xu · Conor Tillinghast · Akil Narayan · Mike Kirby · Shandian Zhe
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Poster
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Wed 17:00
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Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks
Yihang Gao · Yiqi Gu · Michael Ng
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Workshop
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Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs
Amartya Mukherjee · Jun Liu
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Poster
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Tue 14:00
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Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
Arka Daw · Jie Bu · Sifan Wang · Paris Perdikaris · Anuj Karpatne
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Workshop
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Fri 18:20
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Provably Correct Physics-Informed Neural Networks
Francisco Girbal Eiras · Adel Bibi · Rudy Bunel · Krishnamurthy Dvijotham · Phil Torr · M. Pawan Kumar
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Workshop
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Good Lattice Accelerates Physics-Informed Neural Networks
Takashi Matsubara · Takaharu Yaguchi
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Workshop
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Fri 14:15
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Outstanding Paper: Provably Correct Physics-Informed Neural Networks - Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip H.S. Torr, M. Pawan Kumar
Francisco Girbal Eiras
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Poster
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Thu 13:30
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MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
Jiachen Yao · Chang Su · Zhongkai Hao · LIU SONGMING · Hang Su · Jun Zhu
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Workshop
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Physics-informed Localized Learning for Advection-Diffusion-Reaction Systems
Surya Sathujoda · Soham Sheth
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Workshop
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Physics-Informed Neural Operator for Coupled Forward-Backward Partial Differential Equations
Xu Chen · Yongjie FU · Shuo Liu · Xuan Di
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