Jonathan P. Keating

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 6

Top Topics

Random Matrix Theory

Multilayer Perceptron

Top Venues

Publications

Connall Garrod, Jonathan P. Keating
Unifying Low Dimensional Observations in Deep Learning Through the Deep Linear Unconstrained Feature Model. CoRR (2024)
Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel, Diego Granziol
Universal characteristics of deep neural network loss surfaces from random matrix theory. CoRR (2022)
Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel
A spin-glass model for the loss surfaces of generative adversarial networks. CoRR (2021)
Nicholas P. Baskerville, Diego Granziol, Jonathan P. Keating
Applicability of Random Matrix Theory in Deep Learning. CoRR (2021)
Jonathan P. Keating, Ahmet Abdullah Keles
Maximum Absolute Determinants of Upper Hessenberg Bohemian Matrices. CoRR (2020)
Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel
The Loss Surfaces of Neural Networks with General Activation Functions. CoRR (2020)
Michael V. Berry, Jonathan P. Keating
The Riemann Zeros and Eigenvalue Asymptotics. SIAM Rev. 41 (2) (1999)