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Chris Mingard
Chris Mingard
DPhil student, University of Oxford
Dirección de correo verificada de chem.ox.ac.uk
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Is SGD a Bayesian sampler? Well, almost
C Mingard, G Valle-Pérez, J Skalse, AA Louis
Journal of Machine Learning Research 22 (79), 1-64, 2021
542021
Neural networks are a priori biased towards Boolean functions with low entropy
C Mingard, J Skalse, G Valle-Pérez, D Martínez-Rubio, V Mikulik, ...
arXiv preprint arXiv:1909.11522, 2019
312019
Feature Learning and Signal Propagation in Deep Neural Networks
Y Lou, C Mingard, S Hayou
International Conference on Machine Learning, 14248-14282, 2022
172022
Automatic gradient descent: Deep learning without hyperparameters
J Bernstein, C Mingard, K Huang, N Azizan, Y Yue
arXiv preprint arXiv:2304.05187, 2023
112023
Do deep neural networks have an inbuilt Occam's razor?
C Mingard, H Rees, G Valle-Pérez, AA Louis
arXiv preprint arXiv:2304.06670, 2023
82023
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
Y Nam, N Fonseca, SH Lee, C Mingard, AA Louis
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
2*2024
Bounds on learning with power-law priors
S Ridout, I Nemenman, A Louis, C Mingard, R Grabarczyk, K Dingle, ...
Bulletin of the American Physical Society, 2024
12024
Visualising Feature Learning in Deep Neural Networks by Diagonalizing the Forward Feature Map
Y Nam, C Mingard, SH Lee, S Hayou, A Louis
arXiv preprint arXiv:2410.04264, 2024
2024
Exploiting the equivalence between quantum neural networks and perceptrons
C Mingard, J Pointing, C London, Y Nam, AA Louis
arXiv preprint arXiv:2407.04371, 2024
2024
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Artículos 1–9