Chris Mingard

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A simple mean field model of feature learning.
CoRR
Niclas Alexander Göring, Chris Mingard, Yoonsoo Nam, Ard A. Louis
2025 J jnl
Characterising the Inductive Biases of Neural Networks on Boolean Data.
CoRR
Chris Mingard, Lukas Seier, Niclas Alexander Göring, Andrei-Vlad Badelita, Charles London, Ard A. Louis
2025 J jnl
Feature learning is decoupled from generalization in high capacity neural networks.
CoRR
Niclas Alexander Göring, Charles London, Abdurrahman Hadi Erturk, Chris Mingard, Yoonsoo Nam, Ard A. Louis
2024 A* conf
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem.
NeurIPS
Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Ard A. Louis
2024 J jnl
Exploiting the equivalence between quantum neural networks and perceptrons.
CoRR
Chris Mingard, Jessica Pointing, Charles London, Yoonsoo Nam, Ard A. Louis
2024 J jnl
Visualising Feature Learning in Deep Neural Networks by Diagonalizing the Forward Feature Map.
CoRR
Yoonsoo Nam, Chris Mingard, Seok Hyeong Lee, Soufiane Hayou, Ard A. Louis
2023 J jnl
Automatic Gradient Descent: Deep Learning without Hyperparameters.
CoRR
Jeremy Bernstein, Chris Mingard, Kevin Huang, Navid Azizan, Yisong Yue
2023 J jnl
Do deep neural networks have an inbuilt Occam's razor?
CoRR
Chris Mingard, Henry Rees, Guillermo Valle Pérez, Ard A. Louis
2021 J jnl
Is SGD a Bayesian sampler? Well, almost.
J. Mach. Learn. Res.
Chris Mingard, Guillermo Valle Pérez, Joar Skalse, Ard A. Louis
2021 J jnl
The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks.
CoRR
Yizhang Lou, Chris Mingard, Soufiane Hayou
2020 J jnl
Is SGD a Bayesian sampler? Well, almost.
CoRR
Chris Mingard, Guillermo Valle Pérez, Joar Skalse, Ard A. Louis
2019 J jnl
Neural networks are a priori biased towards Boolean functions with low entropy.
CoRR
Chris Mingard, Joar Skalse, Guillermo Valle Pérez, David Martínez-Rubio, Vladimir Mikulik, Ard A. Louis