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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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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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HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang · Jiaming Yang · Wei Hu · Michal Derezinski
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Workshop
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Sat 9:09
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Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
Siqi Chen · ZHIQIANG WANG · Xianqi Deng · Yili Shen · Cheng-Wei Ju · Jun Yi · Lin Xiong · Guo Ling · Dieaa Alhmoud · Hui Guan · Zhou Lin
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Workshop
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Leveraging Intermediate Neural Collapse: Fixing Layers Beyond Effective Depth to Simplex ETFs for Efficient Deep Neural Networks
Emily Liu
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Workshop
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Can Bayesian Neural Networks Make Confident Predictions?
Katharine Fisher
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Poster
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Thu 16:30
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Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
Franziska Heeg · Ingo Scholtes
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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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Adversarial Attacks as Near-Zero Eigenvalues in the Empirical Kernel of Neural Networks
Ouns El Harzli · Bernardo Grau
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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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Workshop
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Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
Benedict Aaron Tjandra · Federico Barbero · Michael Bronstein
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Poster
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Wed 16:30
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Improving Neural Network Surface Processing with Principal Curvatures
Josquin Harrison · James Benn · Maxime Sermesant
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