Mean-Field Theory Of Two-Layers Neural Networks: Dimension Free Bounds And Example

Mean-Field Theory of Two-Layers Neural Networks: Dimension Free Bounds and Example

Simons Institute

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

COLT

A Mean-Field Theory of Lazy Training in Two-Layer Neural Nets: ...

Simons Institute

Andrea Montanari (Stanford) -- Mean Field Descriptions of Two Layers Neural Network

Maxim Raginsky: "A mean-field theory of lazy training in two-layer neural nets"

Institute for Pure & Applied Mathematics (IPAM)

Beyond NTK: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time

Simons Institute

Universal mean field upper bound for the generalization gap of Deep Neural Networks | Pietro Rotondo

Applied Machine Learning Days

Trends in AI Theory Seminar: Mean field theory of 2-layer Neural Networks

MediaTek Research

Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn

Roberto I. Oliveira - A mean-field theory for certain deep neural networks

One world theoretical machine learning

Qin Li - Mean field theory in Inverse Problems: From Bayesian inference to overparametrized networks

One world theoretical machine learning

Mean field analysis of deep ResNet ICML2020

Research 2prime

Huy Tuan Pham - A general framework for the mean field limit of multilayer neural networks

One world theoretical machine learning

On some new techniques to obtain mean-field limits of neural networks with non-standard inteactio...

Samp Pucón 2015

Quanquan Gu: "Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-fi..."

Institute for Pure & Applied Mathematics (IPAM)

Lukasz Szpruch - Mean-Field Neural ODEs, Relaxed Control and Generalization Errors

One world theoretical machine learning

Konstantinos Spiliopoulos - Mean field limits of neural networks: typical behavior and fluctuations

One world theoretical machine learning

Cengiz Pehlevan, Harvard University | Machine Learning Workshop

International Physics of Living Systems

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

Institute for Advanced Study

Zhengdao Chen - A Dynamical Central Limit Theorem for Shallow Neural Networks

One world theoretical machine learning