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128 Results
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Poster
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Wed 11:00 |
Derivative-enhanced Deep Operator Network Yuan Qiu · Nolan Bridges · Peng Chen |
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Workshop
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In-Context Learning for Function Approximation with DeepSet-ONet Shao-Ting Chiu · Junyuan Hong · Ulisses M. Braga-Neto |
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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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Poster
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Thu 11:00 |
Distributed-Order Fractional Graph Operating Network Kai Zhao · Xuhao Li · Qiyu Kang · Feng Ji · Qinxu Ding · Yanan Zhao · Wenfei Liang · Wee Peng Tay |
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Poster
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Fri 11:00 |
Deep Submodular Peripteral Networks Gantavya Bhatt · Arnav Das · Jeff A Bilmes |
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Workshop
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Sun 16:30 |
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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Wed 11:00 |
Deep Homomorphism Networks Takanori Maehara · Hoang NT |
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Affinity Event
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Enhanced Audio Extraction with Deep Neural Network Wesagn Dawit Chemma · Selameab Demilew |
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Poster
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Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Wenlin Chen · Hong Ge |
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Workshop
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Sun 11:20 |
Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel · Ori Shem Ur · Yaron Oz · David Krueger |
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Poster
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Fri 11:00 |
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation Zhe Tao · Aditya V Thakur |
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Workshop
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Learning to Compress: Local Rank and Information Compression in Deep Neural Networks Niket Patel · Ravid Shwartz-Ziv |