Nicholas P. Baskerville

According to our database, Nicholas P. Baskerville authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Iterate Averaging in the Quest for Best Test Error.

Diego Granziol, Nicholas P. Baskerville, Xingchen Wan, Samuel Albanie, Stephen Roberts

J. Mach. Learn. Res., 2024

2023

Random matrix theory and the loss surfaces of neural networks.

Nicholas P. Baskerville

CoRR, 2023

2022

Universal characteristics of deep neural network loss surfaces from random matrix theory.

Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel, Diego Granziol

CoRR, 2022

A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration.

Nicholas P. Baskerville

CoRR, 2022

2021

Applicability of Random Matrix Theory in Deep Learning.

Nicholas P. Baskerville, Diego Granziol, Jonathan P. Keating

CoRR, 2021

A spin-glass model for the loss surfaces of generative adversarial networks.

Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel

CoRR, 2021

2020

The Loss Surfaces of Neural Networks with General Activation Functions.

Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel

CoRR, 2020