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10 Results
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Poster
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Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization seyed amir saberi · Amir Najafi · Amin Behjati · Ala Emrani · Yasaman Zolfimoselo · Shadrooy · Abolfazl Motahari · Babak Khalaj |
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Workshop
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ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric ROMMEL · Victor Letzelter · Nermin Samet · Renaud Marlet · Matthieu Cord · Patrick Perez · Eduardo Valle |
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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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Poster
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Thu 11:00 |
Learning Distributions on Manifolds with Free-Form Flows Peter Sorrenson · Felix Draxler · Armand Rousselot · Sander Hummerich · Ullrich Köthe |
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Poster
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Fri 11:00 |
Hardness of Learning Neural Networks under the Manifold Hypothesis Bobak Kiani · Jason Wang · Melanie Weber |
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Workshop
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Product Manifold Machine Learning for Physics Nate Woodward · Sangeon Park · Gaia Grosso · Jeffrey Krupa · Philip Harris |
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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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Workshop
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Neural Representational Geometry of Concepts in Large Language Models Linden Schrage · Kazuki Irie · Haim Sompolinsky |
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Workshop
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Geometric Machine Learning on EEG Signals Ben Choi |
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Poster
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Fri 16:30 |
Geometric Analysis of Nonlinear Manifold Clustering Nimita Shinde · Tianjiao Ding · Daniel Robinson · Rene Vidal |