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Poster
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Achieve the Minimum Width of Neural Networks for Universal Approximation
Yongqiang Cai
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Poster
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Feature selection and low test error in shallow low-rotation ReLU networks
Matus Telgarsky
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Poster
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Wed 7:30
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Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Akiyama Shunta · Taiji Suzuki
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Poster
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EV-GAN: Simulation of extreme events with ReLU neural networks
Michaël Allouche · Stéphane Girard · Emmanuel Gobet
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Poster
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Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
Spencer Frei · Gal Vardi · Peter Bartlett · Nathan Srebro · Wei Hu
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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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Tue 7:30
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Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
SOUVIK KUNDU · Shunlin Lu · Yuke Zhang · Jacqueline Liu · Peter Beerel
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Poster
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Scalable Subset Sampling with Neural Conditional Poisson Networks
Adeel Pervez · Phillip Lippe · Efstratios Gavves
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Poster
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Mon 2:30
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Trainability Preserving Neural Pruning
Huan Wang · Yun Fu
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Poster
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On Explaining Neural Network Robustness with Activation Path
Ziping Jiang
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Poster
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Mon 7:30
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Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
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