Hector Zenil
Hector Zenil
Lab Leader @Karolinska Institute | Senior Researcher & Faculty Member @Oxford University
Verified email at cs.ox.ac.uk - Homepage
Cited by
Cited by
Inferring causal molecular networks: empirical assessment through a community-based effort
SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ...
Nature methods 13 (4), 310-318, 2016
Calculating Kolmogorov complexity from the output frequency distributions of small turing machines
F Soler-Toscano, H Zenil, JP Delahaye, N Gauvrit
PLoS ONE 9 (5), e96223, 2014
Complex systems
S Wolfram, H Zenil, A Adamatzky, PW Anderson, J Baetens, Y Bar-Yam, ...
Complex Systems, 2017
Numerical Evaluation of the Complexity of Short Strings: A Glance Into the Innermost Structure of Algorithmic Randomness
JP Delahaye, H Zenil
Applied Mathematics and Computation 219, 63-77, 2011
A Computable Universe: Understanding and Exploring Nature as Computation
H Zenil
World Scientific Publishing Company, 2012
Compression-based investigation of the dynamical properties of cellular automata and other systems
H Zenil
Complex Systems 19 (1), 1-28, 2010
Correlation of automorphism group size and topological properties with program-size complexity evaluations of graphs and complex networks
H Zenil, F Soler-Toscano, K Dingle, AA Louis
Physica A: Statistical Mechanics and its Applications 404, 341-358, 2014
Two-dimensional Kolmogorov complexity and an empirical validation of the Coding theorem method by compressibility
H Zenil, F Soler-Toscano, JP Delahaye, N Gauvrit
PeerJ Computer Science 1, e23, 2015
A decomposition method for global evaluation of Shannon entropy and local estimations of algorithmic complexity
H Zenil, S Hernández-Orozco, N Kiani, F Soler-Toscano, A Rueda-Toicen, ...
Entropy 20 (8), 605, 2018
On the Algorithmic Nature of the World
H Zenil, JP Delahaye
Information and Computation 2, 477-496, 2009
Asymptotic Behaviour and Ratios of Complexity in Cellular Automata
H Zenil
International Journal of Bifurcation and Chaos 23 (9), 2013
Methods of information theory and algorithmic complexity for network biology
H Zenil, NA Kiani, J Tegnér
Seminars in Cell and Developmental Biology 51, 32-43, 2016
Algorithmic complexity for psychology: A user-friendly implementation of the coding theorem method
N Gauvrit, H Singmann, F Soler-Toscano, H Zenil
Behavior Research Methods, 1-16, 2015
Algorithmic complexity for short binary strings applied to psychology: a primer
N Gauvrit, H Zenil, JP Delahaye, F Soler-Toscano
Behavior Research Methods 46 (3), 732-744, 2014
Correspondence and Independence of Numerical Evaluations of Algorithmic Information Measures
F Soler-Toscano, H Zenil, JP Delahaye, N Gauvrit
Computability 2 (2), 125-140, 2012
Low-algorithmic-complexity entropy-deceiving graphs
H Zenil, NA Kiani, J Tegnér
Physical Review E 96 (1), 012308, 2017
Computation and universality: class IV versus class III cellular automata
GJ Martinez, JC Seck-Tuoh-Mora, H Zenil
Journal of Cellular Automata 7, 393-430, 2013
Natural scene statistics mediate the perception of image complexity
N Gauvrit, F Soler-Toscano, H Zenil
Visual Cognition 22 (8), 1084-1091, 2014
A Computable Universe. Understanding Computation & Exploring Nature As Computation
H Zenil
Singapore: World Scientific Publishing Company/Imperial College Press, 2012
Randomness Through Computation: Some Answers, More Questions
H Zenil
World Scientific Publishing Company, 2011
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