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Workshop
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How to Select Physics-Informed Neural Networks in the Absence of Ground Truth: A Pareto Front-Based Strategy
Zhao Wei · Jian Cheng Wong · Nicholas Sung · Abhishek Gupta · Chin Chun Ooi · Pao-Hsiung Chiu · My Ha Dao · Yew Soon ONG
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Workshop
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Augmenting Control over Exploration Space in Molecular Dynamics Simulators to Streamline De Novo Analysis through Generative Control Policies
Paloma Gonzalez-Rojas · Gregory Rutledge
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Workshop
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Exploring the Existence of Atmospheric Blocking’s Precursor Patterns with Physics-Informed Explainable AI
Anh Nhu · Lei Wang
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Poster
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Wed 14:00
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Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang · Minghua Chen · Steven Low
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Workshop
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A physics-orientd method for attacking SAR images using salient regions
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Workshop
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Physics-oriented adversarial attacks on SAR image target recognition
Jiahao Cui · wang Guo · Run Shao · tiandong Shi · Haifeng Li
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Poster
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Wed 17:00
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Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network
Yadi Cao · Menglei Chai · Minchen Li · Chenfanfu Jiang
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Poster
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Wed 14:00
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The Acquisition of Physical Knowledge in Generative Neural Networks
Luca M. Schulze Buschoff · Eric Schulz · Marcel Binz
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Workshop
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Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
Savannah Thais · Daniel Murnane
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Workshop
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Knowledge-Guided Additive Modeling For Supervised Regression
Yann Claes · Van Anh Huynh-Thu · Pierre Geurts
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Poster
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Thu 16:30
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Conformal Prediction Sets for Graph Neural Networks
Soroush H. Zargarbashi · Simone Antonelli · Aleksandar Bojchevski
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Workshop
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Sat 19:35
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Contributed Talk 4 - Slicing Mutual Information Generalization Bounds for Neural Networks
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