Chris Mingard

According to our database1, Chris Mingard authored at least 9 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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2
3
4
2
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1
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Visualising Feature Learning in Deep Neural Networks by Diagonalizing the Forward Feature Map.
CoRR, 2024

Exploiting the equivalence between quantum neural networks and perceptrons.
CoRR, 2024

An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Do deep neural networks have an inbuilt Occam's razor?
CoRR, 2023

Automatic Gradient Descent: Deep Learning without Hyperparameters.
CoRR, 2023

2022
Feature Learning and Signal Propagation in Deep Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

2021
Is SGD a Bayesian sampler? Well, almost.
J. Mach. Learn. Res., 2021

The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks.
CoRR, 2021

2019
Neural networks are a priori biased towards Boolean functions with low entropy.
CoRR, 2019


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