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Workshop
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Topology Preserving Regularization for Independent Training of Inter-operable Models
Nicolas Zilberstein · Akshay Malhotra · Shahab Hamidi-Rad · Yugeswar Deenoo
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Workshop
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Helping People Predict Agent Behaviors by Operationalizing the Variation Theory of Learning
Tiffany Horter · Serena Booth · Vinitha Gadiraju
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Affinity Event
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Helping Predict Agent Behaviors by Operationalizing Variation Theory of Learning
Tiffany Horter · Serena Booth · Vinitha Gadiraju
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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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Workshop
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When Differentiable Programming Meets Spectral PDE Solver
Qijia Jiang
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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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Poster
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Thu 11:00
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PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
Hanqing Zhu · Wenyan Cong · Guojin Chen · Shupeng Ning · Ray Chen · Jiaqi Gu · David Z. Pan
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Workshop
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Operational Wind Speed Forecasts for Chile's Electric Grid Using A Hybrid Machine Learning Model
Dhruv Suri · Praneet Dutta · Flora Xue · Inês Azevedo · Ravi Jain
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Poster
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Thu 11:00
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Optimal deep learning of holomorphic operators between Banach spaces
Ben Adcock · Nick Dexter · Sebastian Moraga Scheuermann
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Poster
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Thu 16:30
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SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation
Yiqi Zhang · Yang You
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Workshop
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Sun 16:30
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Training Dynamics of Convolutional Neural Networks for Learning the Derivative Operator
Erik Wang · Yongji Wang · Ching-Yao Lai
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Poster
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Thu 11:00
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Alias-Free Mamba Neural Operator
Jianwei Zheng · Wei Li · Ni Xu · Junwei Zhu · XiaoxuLin · Xiaoqin Zhang
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