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Jonathan P. Keating

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affiliation: University of Bristol, School of Mathematics, UK

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Journal Articles

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1999
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  - journals/siamrev/BerryK99
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Michael V. Berry, Jonathan P. Keating:
The Riemann Zeros and Eigenvalue Asymptotics. SIAM Rev. 41(2): 236-266 (1999)

Informal and Other Publications

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2024
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  - journals/corr/abs-2404-06106
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Connall Garrod, Jonathan P. Keating:
Unifying Low Dimensional Observations in Deep Learning Through the Deep Linear Unconstrained Feature Model. CoRR abs/2404.06106 (2024)
2022
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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 abs/2205.08601 (2022)
2021
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  - journals/corr/abs-2101-02524
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Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel:
A spin-glass model for the loss surfaces of generative adversarial networks. CoRR abs/2101.02524 (2021)
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  - journals/corr/abs-2102-06740
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Nicholas P. Baskerville, Diego Granziol, Jonathan P. Keating:
Applicability of Random Matrix Theory in Deep Learning. CoRR abs/2102.06740 (2021)
2020
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  - journals/corr/abs-2003-00454
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Jonathan P. Keating, Ahmet Abdullah Keles:
Maximum Absolute Determinants of Upper Hessenberg Bohemian Matrices. CoRR abs/2003.00454 (2020)
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Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel:
The Loss Surfaces of Neural Networks with General Activation Functions. CoRR abs/2004.03959 (2020)

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