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)

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)

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)

Deep learning generalizes because the parameter-function map is biased towards simple functions. - Guillermo Valle Pérez; Chico Q. Camargo; Ard A. Louis (ICLR (Poster), 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)

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)

Generalization bounds for deep learning. - Guillermo Valle Pérez; Ard A. Louis (CoRR, 2020)

Double-descent curves in neural networks: a new perspective using Gaussian processes. - Ouns El Harzli; Guillermo Valle Pérez; Ard A. Louis (CoRR, 2021)

Why Flatness Correlates With Generalization For Deep Neural Networks. - Shuofeng Zhang; Isaac Reid; Guillermo Valle Pérez; Ard A. Louis (CoRR, 2021)

Is SGD a Bayesian sampler? Well, almost. - Chris Mingard; Guillermo Valle Pérez; Joar Skalse; Ard A. Louis (J. Mach. Learn. Res., 2021)

Do deep neural networks have an inbuilt Occam's razor? - Chris Mingard; Henry Rees; Guillermo Valle Pérez; Ard A. Louis (CoRR, 2023)

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes. - Ouns El Harzli; Bernardo Cuenca Grau; Guillermo Valle Pérez; Ard A. Louis (AAAI, 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 (NeurIPS, 2024)

An exactly solvable model for emergence and scaling laws. - Yoonsoo Nam; Nayara Fonseca; Seok Hyeong Lee; 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)

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)

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)

Exploring Simplicity Bias in 1D Dynamical Systems. - Kamaludin Dingle; Mohammad Alaskandarani; Boumediene Hamzi; Ard A. Louis (Entropy, 2024)

Characterising the Inductive Biases of Neural Networks on Boolean Data. - Chris Mingard; Lukas Seier; Niclas Alexander Göring; Andrei-Vlad Badelita; Charles London; Ard A. Louis (CoRR, 2025)

Feature learning is decoupled from generalization in high capacity neural networks. - Niclas Alexander Göring; Charles London; Abdurrahman Hadi Erturk; Chris Mingard; Yoonsoo Nam; Ard A. Louis (CoRR, 2025)