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Workshop
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CantorNet: A Sandbox for Testing Topological and Geometrical Measures
Michal Lewandowski · Hamid Eghbalzadeh · Bernhard A. Moser
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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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Thu 11:00
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Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
Vu Dinh · Lam Ho · Cuong V. Nguyen
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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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Topological obstruction to the training of shallow ReLU neural networks
Marco Nurisso · Pierrick Leroy · Francesco Vaccarino
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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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Poster
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Fri 11:00
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Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
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Poster
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Fri 11:00
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A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom · Yam Eitan · Fabrizio Frasca · Haggai Maron
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Poster
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Thu 16:30
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FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
Mengting Xu · De Ma · Huajin Tang · Qian Zheng · Gang Pan
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Affinity Event
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Multi-Genera Classification of Mosquitoes Using Convolutional Neural Networks on Wingbeat Acoustics
Rose-Mary Owusuaa Mensah Gyening · Nutifafa Agbenor-Efunam · Alice Lakyiere · Edmund Ilimoan Yamba · Kingsley Badu
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