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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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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Workshop
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Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli · Bernardo Grau
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Poster
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Wed 16:30
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On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li · Alexander Thomson · houssam nassif · Matthew Engelhard · David Page
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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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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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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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Poster
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Wed 11:00
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[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
Helia Ghasemi · Christina Isaicu · Jesse Wonnink · Andreas Berentzen
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