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Poster
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Wed 11:00
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Graphcode: Learning from multiparameter persistent homology using graph neural networks
Florian Russold · Michael Kerber
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Poster
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Wed 16:30
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DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
Gongpei Zhao · Tao Wang · Congyan Lang · Yi Jin · Yidong Li · Haibin Ling
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Poster
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Wed 16:30
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Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
Joseph Shenouda · Rahul Parhi · Kangwook Lee · Robert Nowak
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Workshop
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Artificial Neural Networks Explain Continuous Speech Perception in Humans
Gasser Elbanna · Josh McDermott
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Poster
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Thu 11:00
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Energy-based Epistemic Uncertainty for Graph Neural Networks
Dominik Fuchsgruber · Tom Wollschläger · Stephan Günnemann
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Workshop
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Towards characterizing the value of edge embeddings in Graph Neural Networks
Dhruv Rohatgi · Tanya Marwah · Zachary Lipton · Jianfeng Lu · Ankur Moitra · Andrej Risteski
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Workshop
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Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
Nikolaos Tsilivis · Gal Vardi · Julia Kempe
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Workshop
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Task-Relevant Covariance from Manifold Capacity Theory Improves Robustness in Deep Networks
William Yang · Chi-Ning Chou · SueYeon Chung
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Workshop
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Structure Based Dataset on SAT Solving with Graph Neural Networks
Yi Fu · Anthony Tompkins · Yang Song · Maurice Pagnucco
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Workshop
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Structure Matters: Deciphering Neural Network's Properties from its Structure
Shashata Sawmya · Toki Tahmid · Gourab Saha · Arpita Saha · Nir Shavit · Lu Mi
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Workshop
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Klein Model for Hyperbolic Neural Networks
Yidan Mao · Jing Gu · Marcus Werner · Dongmian Zou
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Workshop
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SepONet: Efficient Large-Scale Physics-Informed Operator Learning
Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang
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