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Poster
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
Workshop
Thu 4:00 Broken Neural Scaling Laws
Ethan Caballero · Kshitij Gupta · Irina Rish · David Krueger
Poster
Mon 2:30 Continuous-time identification of dynamic state-space models by deep subspace encoding
Gerben Izaak Beintema · Maarten Schoukens · Roland Toth
Poster
Mon 2:30 Broken Neural Scaling Laws
Ethan Caballero · Kshitij Gupta · Irina Rish · David Krueger
Poster
Wed 7:30 Understanding the Covariance Structure of Convolutional Filters
Asher Trockman · Devin Willmott · Zico Kolter
Workshop
Improving extreme weather events detection with light-weight neural networks
Romain Lacombe · Hannah Grossman · Lucas Hendren · David Ludeke
Poster
Wed 2:30 Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
Poster
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow · Colin Wei · Mary Wootters · Tengyu Ma
Poster
Tue 7:30 Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde · Anees Kazi · Federico Barbero · Pietro Lio
Workshop
Fri 0:10 Towards neural networks robust to distribution shifts (Praneeth Netrapalli)
Poster
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick