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Poster
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Fri 11:00
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Non-convolutional graph neural networks.
Yuanqing Wang · Kyunghyun Cho
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Workshop
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Reassessing Number-Detector Units in Convolutional Neural Networks
Nhut Truong · Shahryar Noei · Alireza Karami
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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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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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Workshop
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Communication subspaces align with training in ANNs
Peter Poggi · Stefan Mihalas · Dana Mastrovito
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Workshop
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A Tensor-based Convolutional Neural Network for Small Dataset Classification
Zhenhua Chen · David Crandall
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Poster
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Fri 16:30
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Advection Augmented Convolutional Neural Networks
Niloufar Zakariaei · Siddharth Rout · Eldad Haber · Moshe Eliasof
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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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Workshop
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Comparing Representations in Static and Dynamic Vision Models to the Human Brain
Hamed Karimi · Stefano Anzellotti
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Affinity Event
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Training-Free Approach of Convolutional Neural Networks with Astrocyte-Inspired Architectures
Ana Ribas-Rodriguez · Vanessa Aguiar-Pulido · Francisco Cedron
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