Ard A. Louis

According to our database, Ard A. Louis authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring Simplicity Bias in 1D Dynamical Systems.

Kamaludin Dingle, Mohammad Alaskandarani, Boumediene Hamzi, Ard A. Louis

Entropy, May, 2024

Bias in the arrival of variation can dominate over natural selection in Richard Dawkins's biomorphs.

Nora S. Martin, Chico Q. Camargo, Ard A. Louis

PLoS Comput. Biol., 2024

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

Yoonsoo Nam, Chris Mingard, Seok Hyeong Lee, Soufiane Hayou, Ard A. Louis

CoRR, 2024

Exploiting the equivalence between quantum neural networks and perceptrons.

Chris Mingard, Jessica Pointing, Charles London, Yoonsoo Nam, Ard A. Louis

CoRR, 2024

An exactly solvable model for emergence and scaling laws.

Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Ard A. Louis

CoRR, 2024

An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem.

Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Ard A. Louis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes.

Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Pérez, Ard A. Louis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Chris Mingard, Henry Rees, Guillermo Valle Pérez, Ard A. Louis

CoRR, 2023

2021

Is SGD a Bayesian sampler? Well, almost.

Chris Mingard, Guillermo Valle Pérez, Joar Skalse, Ard A. Louis

J. Mach. Learn. Res., 2021

Why Flatness Correlates With Generalization For Deep Neural Networks.

Shuofeng Zhang, Isaac Reid, Guillermo Valle Pérez, Ard A. Louis

CoRR, 2021

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

Ouns El Harzli, Guillermo Valle Pérez, Ard A. Louis

CoRR, 2021

2020

Generalization bounds for deep learning.

Guillermo Valle Pérez, Ard A. Louis

CoRR, 2020

2019

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

Antonio Suma, Erik Poppleton, Michael Matthies, Petr Sulc, Flavio Romano, Ard A. Louis, Jonathan P. K. Doye, Cristian Micheletti, Lorenzo Rovigatti

J. Comput. Chem., 2019

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

Chris Mingard, Joar Skalse, Guillermo Valle Pérez, David Martínez-Rubio, Vladimir Mikulik, Ard A. Louis

CoRR, 2019

Deep learning generalizes because the parameter-function map is biased towards simple functions.

Guillermo Valle Pérez, Chico Q. Camargo, Ard A. Louis

Proceedings of the 7th International Conference on Learning Representations, 2019

2016

Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability.

Sam F. Greenbury, Steffen Schaper, Sebastian E. Ahnert, Ard A. Louis

PLoS Comput. Biol., 2016

2014

Simulating a burnt-bridges DNA motor with a coarse-grained DNA model.

Petr Sulc, Thomas E. Ouldridge, Flavio Romano, Jonathan P. K. Doye, Ard A. Louis

Nat. Comput., 2014

2013

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

Hector Zenil, Fernando Soler-Toscano, Kamaludin Dingle, Ard A. Louis

CoRR, 2013