We stand with Ukraine  

Nicholas P. Baskerville

According to our database1, Nicholas P. Baskerville authored at least 6 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Random matrix theory and the loss surfaces of neural networks.
[BibTeX]
[DOI]
Nicholas P. Baskerville
CoRR, 2023

2022
Universal characteristics of deep neural network loss surfaces from random matrix theory.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Nicholas P. Baskerville
CoRR, 2022

2021
Applicability of Random Matrix Theory in Deep Learning.
[BibTeX]
[DOI]
Nicholas P. Baskerville
,
Diego Granziol
,
Jonathan P. Keating
CoRR, 2021

A spin-glass model for the loss surfaces of generative adversarial networks.
[BibTeX]
[DOI]
Nicholas P. Baskerville
,
Jonathan P. Keating
,
Francesco Mezzadri
,
Joseph Najnudel
CoRR, 2021

2020
The Loss Surfaces of Neural Networks with General Activation Functions.
[BibTeX]
[DOI]
Nicholas P. Baskerville
,
Jonathan P. Keating
,
Francesco Mezzadri
,
Joseph Najnudel
CoRR, 2020


  Loading...