589 Results

Poster	Thu 9:00	Benign Overfitting in Two-layer Convolutional Neural Networks Yuan Cao · Zixiang Chen · Misha Belkin · Quanquan Gu
Poster	Tue 9:00	Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
Poster	Wed 14:00	Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Poster	Wed 9:00	A Quantitative Geometric Approach to Neural-Network Smoothness Zi Wang · Gautam Prakriya · Somesh Jha
Poster	Thu 9:00	Annihilation of Spurious Minima in Two-Layer ReLU Networks Yossi Arjevani · Michael Field
Poster	Wed 9:00	Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime Naoki Nishikawa · Taiji Suzuki · Atsushi Nitanda · Denny Wu
Poster	Thu 9:00	High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
Poster		Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width Hanxu Zhou · Zhou Qixuan · Zhenyuan Jin · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu
Poster		High-dimensional limit theorems for SGD: Effective dynamics and critical scaling Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath
Poster	Wed 9:00	The Sample Complexity of One-Hidden-Layer Neural Networks Gal Vardi · Ohad Shamir · Nati Srebro
Workshop		Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction Nitzan Avidan · Moti Freiman
Poster	Thu 9:00	Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons Paul Bertens · Seong-Whan Lee