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1204 Results
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Workshop
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Sat 6:30 |
Geometric deep learning for protein understanding Jian Tang |
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Poster
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Tue 15:15 |
Geometric Transformer with Interatomic Positional Encoding Yusong Wang · Shaoning Li · Tong Wang · Bin Shao · Nanning Zheng · Tie-Yan Liu |
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Poster
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Wed 15:00 |
Topological Parallax: A Geometric Specification for Deep Perception Models Abraham Smith · Michael Catanzaro · Gabrielle Angeloro · Nirav Patel · Paul Bendich |
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Poster
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Wed 8:45 |
Geometric Algebra Transformer Johann Brehmer · Pim de Haan · Sönke Behrends · Taco Cohen |
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Workshop
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Curvature and Causal Inference in Network Data Amirhossein Farzam · Allen Tannenbaum · Guillermo Sapiro |
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Poster
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Wed 8:45 |
Is Distance Matrix Enough for Geometric Deep Learning? Zian Li · Xiyuan Wang · Yinan Huang · Muhan Zhang |
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Workshop
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deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning Sankalp Gilda |
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Workshop
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Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti · Gabriele Cesa · Kumar Pratik · Arash Behboodi |
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Workshop
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Low-Width Approximations and Sparsification for Scaling Graph Transformers Hamed Shirzad · Balaji Venkatachalam · Ameya Velingker · Danica J. Sutherland · David Woodruff |
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Poster
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Wed 15:00 |
Max-Margin Token Selection in Attention Mechanism Davoud Ataee Tarzanagh · Yingcong Li · Xuechen Zhang · Samet Oymak |
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Poster
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Thu 8:45 |
Representation Learning via Consistent Assignment of Views over Random Partitions Thalles Santos Silva · Adín Ramírez Rivera |
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Workshop
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Sat 9:05 |
Low-precision Sampling for Probabilistic Deep Learning Ruqi Zhang |