Epistasis can lead to fragmented neutral spaces and contingency in evolution
 Schaper, S Johnston, I Louis, A (04 Aug 2011) doi:10.48550/arxiv.1108.1150
A tractable genotype-phenotype map for the self-assembly of protein quaternary structure
 Greenbury, S Johnston, I Louis, A Ahnert, S (02 Nov 2013) doi:10.48550/arxiv.1311.0399
Deep learning generalizes because the parameter-function map is biased towards simple functions
 Valle-Pérez, G Camargo, C Louis, A (22 May 2018) doi:10.48550/arxiv.1805.08522
The arrival of the frequent: how bias in genotype-phenotype maps can steer populations to local optima
 Louis, A Schaper, S (06 Feb 2014) doi:10.48550/arxiv.1402.1410
Genetic correlations greatly increase mutational robustness and can both reduce and enhance evolvability
 Greenbury, S Schaper, S Ahnert, S Louis, A (28 May 2015) doi:10.48550/arxiv.1505.07821
The structure of the genotype-phenotype map strongly constrains the evolution of non-coding RNA
 Dingle, K Schaper, S Louis, A (17 Jun 2015) doi:10.48550/arxiv.1506.05352
Neural networks are a priori biased towards Boolean functions with low entropy
 Mingard, C Skalse, J Valle-Pérez, G Martínez-Rubio, D Mikulik, V Louis, A (25 Sep 2019) doi:10.48550/arxiv.1909.11522
Generic predictions of output probability based on complexities of inputs and outputs
 Dingle, K Pérez, G Louis, A (02 Oct 2019) doi:10.48550/arxiv.1910.00971
From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics
 Manrubia, S Cuesta, J Aguirre, J Ahnert, S Altenberg, L Cano, A Catalán, P Diaz-Uriarte, R Elena, S García-Martín, J Hogeweg, P Khatri, B Krug, J Louis, A Martin, N Payne, J Tarnowski, M Weiß, M (02 Feb 2020) doi:10.48550/arxiv.2002.00363
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