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Workshop
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Probing optimisation in physics-informed neural networks
Nayara Fonseca · Veronica Guidetti · Will Trojak
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Poster
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Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Zhongkai Hao · Chengyang Ying · Hang Su · Jun Zhu · Jian Song · Ze Cheng
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Poster
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Mon 7:30
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Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
Akarsh Pokkunuru · Pedram Rooshenas · Thilo Strauss · Anuj Abhishek · Taufiquar Khan
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Poster
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Mon 7:30
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NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
Ruiqi Ni · Ahmed Qureshi
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Oral
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Mon 6:40
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NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
Ruiqi Ni · Ahmed Qureshi
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Workshop
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Thu 3:15
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Best Paper 2:"Neural Time Fields for Physics-Informed Motion Planning"
Ruiqi Ni
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Poster
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Mon 2:30
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Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Matt Ricci · Noa Moriel · Zoe Piran · Mor Nitzan
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Oral
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Mon 1:00
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Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Matt Ricci · Noa Moriel · Zoe Piran · Mor Nitzan
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Workshop
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MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli · Muhammad Alam · Bruno Ribeiro
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Workshop
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Expanding the Extrapolation Limits of Neural Network Force Fields using Physics-Based Data Augmentation
Yuliia Orlova · Gavin Ridley · Frederick Zhao · Rafael Gomez-Bombarelli
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Workshop
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Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks
Suresh Bishnoi · Ravinder Bhattoo · Jayadeva Jayadeva · Sayan Ranu · N. M. Anoop Krishnan
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Poster
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Mon 7:30
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Learning Symbolic Models for Graph-structured Physical Mechanism
Hongzhi Shi · Jingtao Ding · Yufan Cao · Quanming Yao · Li Liu · Yong Li
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