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673 Results
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Poster
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Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Wenlin Chen · Hong Ge |
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Poster
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Wed 11:00 |
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis Cubillos · Guy Revach · Matthew Mender · Joseph Costello · Hisham Temmar · Aren Hite · Diksha Anoop Kumar Zutshi · Dylan Wallace · Xiaoyong Ni · Madison Kelberman · Matt Willsey · Ruud Van Sloun · Nir Shlezinger · Parag Patil · Anne Draelos · Cynthia Chestek |
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Workshop
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Geometric Deep Learning with Quasiconformal Neural Networks: An Introduction Nico Alvarado · Hans Lobel |
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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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Workshop
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Gradient of Clifford Neural Networks Takashi Maruyama · Francesco Alesiani |
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Workshop
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BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration Stefanos Pertigkiozoglou · Evangelos Chatzipantazis · Kostas Daniilidis |
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Poster
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Wed 11:00 |
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework Parsa Moradi · Behrooz Tahmasebi · Mohammad Maddah-Ali |
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Poster
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Wed 16:30 |
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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Does equivariance matter at scale? Johann Brehmer · Sönke Behrends · Pim de Haan · Taco Cohen |
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Workshop
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Convergence of Manifold Filter-Combine Networks David R Johnson · Joyce Chew · Siddharth Viswanath · Edward De Brouwer · Deanna Needell · Smita Krishnaswamy · Michael Perlmutter |
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Poster
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Fri 16:30 |
Visual Prompt Tuning in Null Space for Continual Learning Yue Lu · Shizhou Zhang · De Cheng · Yinghui Xing · Nannan Wang · PENG WANG · Yanning Zhang |
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Oral Session
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Fri 15:30 |
Oral Session 6D: Deep Learning Architecture, Infrastructure |