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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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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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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Poster
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Fri 11:00
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Analysis of Corrected Graph Convolutions
Robert Wang · Aseem Baranwal · Kimon Fountoulakis
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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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How do students become teachers: A dynamical analysis for two-layer neural networks
Zhenyu Zhu · Fanghui Liu · Volkan Cevher
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Poster
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Wed 11:00
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How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks
Mo Zhou · Rong Ge
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Affinity Event
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GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks
Hana Mekonen Tamiru
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Workshop
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Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
Dayal Singh Kalra · Tianyu He · Maissam Barkeshli
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Workshop
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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Workshop
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Sat 11:00
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Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen · Beining Wu · Miao Lu · Zhuoran Yang · Tianhao Wang
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Poster
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Thu 11:00
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Learning on Large Graphs using Intersecting Communities
Ben Finkelshtein · Ismail Ceylan · Michael Bronstein · Ron Levie
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