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Workshop
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Neural Network Symmetrisation in Concrete Settings
Rob Cornish
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Workshop
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Sun 12:00
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Lie-Equivariant Quantum Graph Neural Networks
Jogi Suda Neto · Roy Forestano · Sergei Gleyzer · Kyoungchul Kong · Konstantin Matchev · Katia Matcheva
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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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On Optimal Lifting to SE(2) in Equivariant Neural Networks
Chase van de Geijn · Remco Duits · Erik Bekkers
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Poster
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Fri 11:00
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Scale Equivariant Graph Metanetworks
Ioannis Kalogeropoulos · Giorgos Bouritsas · Yannis Panagakis
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Workshop
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Conic Activation Functions
Changqing Fu · Laurent Cohen
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Workshop
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Simultaneous Discovery of Reaction Coordinates and Committor Functions Using Equivariant Graph Neural Networks
Killian Sheriff · Rodrigo Freitas · Amalie Trewartha · Steven Torrisi
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Poster
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Wed 16:30
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Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
QINGQI ZHANG · Ruize Xu · Risi Kondor
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Poster
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Thu 11:00
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Monomial Matrix Group Equivariant Neural Functional Networks
Hoang Tran · Thieu Vo · Tho Huu · An Nguyen The · Tan Nguyen
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Poster
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Wed 16:30
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A Canonicalization Perspective on Invariant and Equivariant Learning
George Ma · Yifei Wang · Derek Lim · Stefanie Jegelka · Yisen Wang
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