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Dive into the research topics where Jeffrey Pennington is active.

Publication


Featured researches published by Jeffrey Pennington.


neural information processing systems | 2015

Spherical Random Features for polynomial kernels

Jeffrey Pennington; Felix X. Yu; Sanjiv Kumar


international conference on learning representations | 2018

Deep Neural Networks as Gaussian Processes

Jaehoon Lee; Jascha Sohl-Dickstein; Jeffrey Pennington; Roman Novak; Sam Schoenholz; Yasaman Bahri


international conference on machine learning | 2017

Geometry of Neural Network Loss Surfaces via Random Matrix Theory

Jeffrey Pennington; Yasaman Bahri


neural information processing systems | 2017

Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice

Jeffrey Pennington; Samuel S. Schoenholz; Surya Ganguli


international conference on learning representations | 2018

Sensitivity and Generalization in Neural Networks: an Empirical Study

Roman Novak; Yasaman Bahri; Daniel A. Abolafia; Jeffrey Pennington; Jascha Sohl-Dickstein


international conference on artificial intelligence and statistics | 2018

The emergence of spectral universality in deep networks

Jeffrey Pennington; Samuel S. Schoenholz; Surya Ganguli


arXiv: Machine Learning | 2017

A Correspondence Between Random Neural Networks and Statistical Field Theory.

Samuel S. Schoenholz; Jeffrey Pennington; Jascha Sohl-Dickstein


international conference on machine learning | 2018

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks

Lechao Xiao; Yasaman Bahri; Jascha Sohl-Dickstein; Samuel S. Schoenholz; Jeffrey Pennington


neural information processing systems | 2017

Nonlinear random matrix theory for deep learning

Jeffrey Pennington; Pratik Worah


neural information processing systems | 2018

The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network

Jeffrey Pennington; Pratik Worah

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