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Workshop
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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu
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Affinity Event
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Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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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
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Poster
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Fri 11:00
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Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
Zhe Tao · Aditya V Thakur
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Workshop
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Sun 11:20
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Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel · Ori Shem Ur · Yaron Oz · David Krueger
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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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Poster
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Wed 11:00
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Deep Homomorphism Networks
Takanori Maehara · Hoang NT
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Affinity Event
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Heart Disease Prediction: A Comparative Study of Optimizers Performance in Deep Neural Networks.
chisom chibuike · Adeyinka Ogunsanya
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Workshop
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Sun 11:05
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David Krueger: 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 16:30
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Improved Particle Approximation Error for Mean Field Neural Networks
Atsushi Nitanda
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