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Workshop
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Sparsely Connected Layers for Financial Tabular Data
Mohammed Abdulrahman · Yin Wang · Hui Chen
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Workshop
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Adaptivee: Adaptive Ensemble for Tabular Data
Dawid Płudowski · Katarzyna Woźnica
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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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Relational Data Generation with Graph Neural Networks and Latent Diffusion Models
Valter Hudovernik
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Poster
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Fri 11:00
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Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto · Salah GHAMIZI · Maxime Cordy
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Workshop
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TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov · Oleg Platonov · Liudmila Prokhorenkova
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Workshop
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Learnable Numerical Input Normalization for Tabular Representation Learning based on B-splines
Min-Kook Suh · Moonjung Eo · Ye Seul Sim · Woohyung Lim
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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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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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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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