Nicholas P. Baskerville

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Multilayer Perceptron

Random Matrix Theory

Point Processes

Top Venues

Publications

Nicholas P. Baskerville
Random matrix theory and the loss surfaces of neural networks. CoRR (2023)
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
A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration. 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)
Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel
The Loss Surfaces of Neural Networks with General Activation Functions. CoRR (2020)