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Workshop
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Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron · Michael Witbrock · Gillian Dobbie
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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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Thu 11:00
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Dissecting the Failure of Invariant Learning on Graphs
Qixun Wang · Yifei Wang · Yisen Wang · Xianghua Ying
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Workshop
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On the Reconstruction of Training Data from Group Invariant Networks
Ran Elbaz · Gilad Yehudai · Meirav Galun · Haggai Maron
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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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Wed 11:00
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RAGraph: A General Retrieval-Augmented Graph Learning Framework
Xinke Jiang · Rihong Qiu · Yongxin Xu · WentaoZhang · Yichen Zhu · Ruizhe Zhang · Yuchen Fang · Chu Xu · Junfeng Zhao · Yasha Wang
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Poster
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Thu 16:30
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Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan · Jiarong Xu · Renhong Huang · Mingli Song · Chunping Wang · YANG YANG
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Poster
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Wed 11:00
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Rethinking the Capacity of Graph Neural Networks for Branching Strategy
Ziang Chen · Jialin Liu · Xiaohan Chen · Wang · Wotao Yin
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Poster
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Fri 16:30
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GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
Hongtai Zeng · Chao Yang · Yanzhen Zhou · Cheng Yang · Qinglai Guo
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Poster
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Thu 16:30
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Extracting Training Data from Molecular Pre-trained Models
Renhong Huang · Jiarong Xu · Zhiming Yang · Xiang Si · Xin Jiang · Hanyang Yuan · Chunping Wang · YANG YANG
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