A tractable genotype-phenotype map for the self-assembly of protein quaternary structure
Greenbury, S
Johnston, I
Louis, A
Ahnert, S
(02 Nov 2013)
Deep learning generalizes because the parameter-function map is biased towards simple functions
Valle-Pérez, G
Camargo, C
Louis, A
(22 May 2018)
The arrival of the frequent: how bias in genotype-phenotype maps can steer populations to local optima
Louis, A
Schaper, S
(06 Feb 2014)
Genetic correlations greatly increase mutational robustness and can both reduce and enhance evolvability
Greenbury, S
Schaper, S
Ahnert, S
Louis, A
(28 May 2015)
The structure of the genotype-phenotype map strongly constrains the evolution of non-coding RNA
Dingle, K
Schaper, S
Louis, A
(17 Jun 2015)
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)
Generic predictions of output probability based on complexities of inputs and outputs
Dingle, K
Pérez, G
Louis, A
(02 Oct 2019)
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)
Is SGD a Bayesian sampler? Well, almost
Mingard, C
Valle-Pérez, G
Skalse, J
Louis, A
(26 Jun 2020)
Generalization bounds for deep learning
Valle-Pérez, G
Louis, A
(07 Dec 2020)