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Workshop
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Hamiltonian Matching for Symplectic Neural Integrators
Priscilla Canizares · Davide Murari · Carola-Bibiane Schönlieb · Ferdia Sherry · Zakhar Shumaylov
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Poster
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Fri 11:00
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Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
Ethan Harvey · Mikhail Petrov · Michael Hughes
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Poster
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Fri 11:00
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Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao · Qiongshi Lu
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Poster
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Wed 11:00
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Physics-Informed Variational State-Space Gaussian Processes
Oliver Hamelijnck · Arno Solin · Theodoros Damoulas
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Workshop
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SepONet: Efficient Large-Scale Physics-Informed Operator Learning
Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang
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Workshop
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FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
Milad Ramezankhani · Rishi Parekh · Anirudh Deodhar · Dagnachew Birru
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Affinity Event
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Physics Informed Model Based Reinforcement Learning for Controlling Synchronization of Weakly Coupled Kuramoto System
Alif Bin Abdul Qayyum · A Abeer
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Workshop
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Survey: Adaptive Physics-informed Neural Networks
Edgar Torres Rios · Mathias Niepert
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Workshop
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FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
Milad Ramezankhani · Rishi Parekh · Anirudh Deodhar · Dagnachew Birru
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Tutorial
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Tue 9:30
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Dynamic Sparsity in Machine Learning: Routing Information through Neural Pathways
Edoardo Maria Ponti · André Martins
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Workshop
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Sat 8:50
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Fine-Tuning in Modern Machine Learning: Principles and Scalability
Fanghui Liu · Grigorios Chrysos · Beidi Chen · Rebekka Burkholz · Saleh Soltan · Angeliki Giannou · Masashi Sugiyama · Volkan Cevher
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Workshop
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PICL: Learning to Incorporate Physical Information When Only Coarse-Grained Data is Available
Haodong Feng · Yue Wang · Dixia Fan
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