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309 Results
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Poster
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Thu 13:30 |
Feature learning in deep classifiers through Intermediate Neural Collapse Akshay Rangamani · Marius Lindegaard · Tomer Galanti · Tomaso Poggio |
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Affinity Workshop
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Mon 19:15 |
Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification Vinicius L S Silva · Claire Heaney · Christopher Pain |
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Workshop
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Associative memory and deep learning with Hebbian synaptic and structural plasticity Naresh Balaji Ravichandran · Anders Lansner · Pawel Herman |
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Workshop
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High-dimensional Learning Dynamics of Deep Neural Nets in the Neural Tangent Regime Yongqi Du · Zenan Ling · Robert Qiu · Zhenyu Liao |
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Poster
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Thu 16:30 |
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss Pierre Bréchet · Katerina Papagiannouli · Jing An · Guido Montufar |
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Workshop
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The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold Jialin Mao · Han Kheng Teoh · Itay Griniasty · Rahul Ramesh · Rubing Yang · Mark Transtrum · James Sethna · Pratik Chaudhari |
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Workshop
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Energy-Based Learning Algorithms: A Comparative Study Benjamin Scellier · Maxence Ernoult · Jack Kendall · Suhas Kumar |
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Workshop
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BatchGFN: Generative Flow Networks for Batch Active Learning Shreshth Malik · Salem Lahlou · Andrew Jesson · Moksh Jain · Nikolay Malkin · Tristan Deleu · Yoshua Bengio · Yarin Gal |
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Workshop
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INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations Louis Serrano · Léon Migus · Yuan Yin · Jocelyn Mazari · Jean-Noël Vittaut · patrick gallinari |