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Nicholas P. Baskerville
Nicholas P. Baskerville
E-mail confirmado em bristol.ac.uk
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The loss surfaces of neural networks with general activation functions
NP Baskerville, JP Keating, F Mezzadri, J Najnudel
Journal of Statistical Mechanics: Theory and Experiment 2021 (6), 064001, 2021
292021
Appearance of random matrix theory in deep learning
NP Baskerville, D Granziol, JP Keating
Physica A: Statistical Mechanics and its Applications 590, 126742, 2022
152022
A spin glass model for the loss surfaces of generative adversarial networks
NP Baskerville, JP Keating, F Mezzadri, J Najnudel
Journal of Statistical Physics 186 (2), 29, 2022
152022
Universal characteristics of deep neural network loss surfaces from random matrix theory
NP Baskerville, JP Keating, F Mezzadri, J Najnudel, D Granziol
Journal of Physics A: Mathematical and Theoretical 55 (49), 494002, 2022
82022
Applicability of random matrix theory in deep learning
NP Baskerville, D Granziol, JP Keating
arXiv e-prints, arXiv: 2102.06740, 2021
62021
A random matrix theory approach to damping in deep learning
D Granziol, N Baskerville
Journal of Physics: Complexity 3 (2), 024001, 2022
32022
Iterate Averaging in the Quest for Best Test Error
D Granziol, NP Baskerville, X Wan, S Albanie, S Roberts
Journal of Machine Learning Research 25 (20), 1-55, 2024
2024
Random matrix theory and the loss surfaces of neural networks
NP Baskerville
arXiv preprint arXiv:2306.02108, 2023
2023
A Novel Sampler for Gauss-Hermite Determinantal Points Processes
N Baskerville
Available at SSRN 4330239, 2022
2022
A novel sampler for Gauss-Hermite determinantal point processes with application to Monte Carlo integration
NP Baskerville
arXiv preprint arXiv:2203.08061, 2022
2022
A Random Matrix Theory Approach to the Adaptive Gradient Generalisation Gap
D Granziol, N Baskerville, X Wan, S Albanie, S Roberts
stat 1050, 26, 2021
2021
A spin-glass model for the loss surfaces of generative adversarial networks. arXiv. https://arxiv. org/abs/2101.02524
NP Baskerville, JP Keating, F Mezzadri, J Najnudel
2021
A Practical PAC-Bayes Generalisation Bound for Deep Learning
D Granziol, M Zhang, N Baskerville
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