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Workshop
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Geometric Machine Learning on EEG Signals
Ben Choi
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Workshop
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OrbNet-Spin: Quantum Mechanics Informed Geometric Deep Learning For Open-shell Systems
Beom Seok Kang · Amin Tavakoli · Vignesh Bhethanabotla · William Goddard · Animashree Anandkumar
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Poster
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Wed 16:30
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The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
Michael Munn · Benoit Dherin · Javier Gonzalvo
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Workshop
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Chemical Language Meets Geometric Graphs: A Multimodal Fusion Approach for Molecular Properties
Collin Francel · Massimiliano Lupo Pasini · Zachary Fox
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Poster
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Wed 11:00
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Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
Jason Vander Woude · Peter Dixon · A. Pavan · Jamie Radcliffe · N. V. Vinodchandran
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Poster
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Fri 11:00
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GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
Deyu Zou · Shikun Liu · Siqi Miao · Victor Fung · Shiyu Chang · Pan Li
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Poster
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Fri 16:30
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Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
Anna Korba · Francis Bach · Clémentine CHAZAL
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Workshop
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Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
Federico Nardi · Jinpei Han · Shlomi Haar · Aldo Faisal
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Workshop
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3D Interaction Geometric Pre-training for Molecular Relational Learning
Namkyeong Lee · Yunhak Oh · Heewoong Noh · Gyoung S. Na · Tianfan Fu · Chanyoung Park
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Workshop
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Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance
Tomáš Karella · Adam Harmanec · Jan Kotera · Jan Blažek · Filip Sroubek
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