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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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Sat 9:00
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Interpretable Theories for Comparing Biological and Artificial Neural Networks
SueYeon Chung
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Poster
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Fri 11:00
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Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
Hangchi Shen · Qian Zheng · Huamin Wang · Gang Pan
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Workshop
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Proliferation of cosine-tuning in both artificial spiking and cortical neural networks during learning
Tengjun Liu · Yansong Chua · Yiwei Zhang · Yuxiao Ning · Guihua Wan · Zijun Wan · Shaomin Zhang · Weidong Chen
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Affinity Event
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Enhancing Amharic Sentence Segmentation with Prosodic Features and Neural Network Models
Rahel Mekonen Tamiru · Mengistu Negia · ABEL ALEMU
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Workshop
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Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
Miro Miranda · Marcela Charfuelan · Andreas Dengel
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Poster
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Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
Chongming Liu · Jingyang Ma · Songting Li · Douglas (Dongzhuo) Zhou
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Poster
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Wed 11:00
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Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
Tian Qiu · Chenchao Gao · Zunlei Feng · Jie Lei · Bingde Hu · Xingen Wang · Yi Gao · Mingli Song
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Workshop
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Sat 15:45
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Fast yet Safe: Early-Exiting with Risk Control
Metod Jazbec · Alexander Timans · Tin Hadži Veljković · Kaspar Sakmann · Dan Zhang · Christian Andersson Naesseth · Eric Nalisnick
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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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