Ard A. Louis

Orcid: 0000-0002-8438-910X

According to our database1, Ard A. Louis authored at least 12 papers between 2013 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

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

Why Flatness Correlates With Generalization For Deep Neural Networks.
CoRR, 2021

Double-descent curves in neural networks: a new perspective using Gaussian processes.
CoRR, 2021

2020
Generalization bounds for deep learning.
CoRR, 2020

2019
TacoxDNA: A user-friendly web server for simulations of complex DNA structures, from single strands to origami.
J. Comput. Chem., 2019

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

Deep learning generalizes because the parameter-function map is biased towards simple functions.
Proceedings of the 7th International Conference on Learning Representations, 2019

2016
Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability.
PLoS Comput. Biol., 2016

2014
Simulating a burnt-bridges DNA motor with a coarse-grained DNA model.
Nat. Comput., 2014

2013
Graph Automorphism and Topological Characterization of Synthetic and Natural Complex Networks by Information Content.
CoRR, 2013


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