Louis, Ard A.

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

Valle-Pérez, G., Camargo, C. Q., & Louis, A. A. (2018) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 105

From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics

Manrubia, S., Cuesta, J. A., Aguirre, J., Ahnert, S. E., Altenberg, L., Cano, A. V., Catalán, P., Diaz-Uriarte, R., Elena, S. F., García-Martín, J. A., et al. (2021) · Physics of Life Reviews

Evolution and Genetic DynamicsRNA and protein synthesis mechanisms

Cited by 88

Self-assembly, modularity, and physical complexity

Ahnert, S. E., Johnston, I. G., Fink, T. M. A., Doye, J. P. K., & Louis, A. A. (2010) · Physical Review E

DNA and Biological ComputingComplex Systems and Dynamics

Cited by 62

Predicting phenotype transition probabilities via conditional algorithmic probability approximations

Dingle, K., Novev, J. K., Ahnert, S. E., & Louis, A. A. (2022) · Journal of the Royal Society Interface

Computability, Logic, AI AlgorithmsEvolution and Genetic Dynamics

Cited by 13

Predicting phenotype transition probabilities via conditional algorithmic probability approximations

Dingle, K., Novev, J. K., Ahnert, S. E., & Louis, A. A. (2022) · Journal of The Royal Society Interface

Computability, Logic, AI AlgorithmsEvolution and Genetic Dynamics

Cited by 13