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Poster
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Mon 2:30
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Neural-based classification rule learning for sequential data
Marine Collery · Philippe Bonnard · François Fages · Remy Kusters
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Poster
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
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Poster
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Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow · Colin Wei · Mary Wootters · Tengyu Ma
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Workshop
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Fri 0:45
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What Neural Networks Memorize and Why (Vitaly Feldman)
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Poster
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Wed 2:30
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Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
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Workshop
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Improving extreme weather events detection with light-weight neural networks
Romain Lacombe · Hannah Grossman · Lucas Hendren · David Ludeke
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Workshop
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Thu 8:00
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Scaling laws for deep neural networks: driving theory and understanding through experimental insights
Yasaman Bahri
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Poster
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Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Difan Zou · Yuan Cao · Yuanzhi Li · Quanquan Gu
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Poster
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Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick
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Poster
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Tue 7:30
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Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde · Anees Kazi · Federico Barbero · Pietro Lio
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Workshop
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Fri 0:10
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Towards neural networks robust to distribution shifts (Praneeth Netrapalli)
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Poster
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Wed 7:30
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Compositionality with Variation Reliably Emerges in Neural Networks
Henry Conklin · Kenny Smith
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