Pablo León-Villagrá

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Adam SanbornProfessor, Department of Psychology, University of WarwickVerified email at warwick.ac.uk
nick chaterProfessor of Behavioural Science, Warwick Business SchoolVerified email at wbs.ac.uk
Christopher G. LucasUniversity of EdinburghVerified email at ed.ac.uk
Jian-Qiao ZhuDepartment of Computer Science, Princeton UniversityVerified email at princeton.edu
Jake SpicerResearch Fellow, Department of Psychology, University of WarwickVerified email at warwick.ac.uk
Mark van der WilkAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Thomas NicksonIndependentVerified email at tomnickson.com
Alexander G. D. G. MatthewsDeepMindVerified email at google.com
James HensmanMicrosoft ResearchVerified email at microsoft.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Keisuke FujiiOak Ridge National LaboratoryVerified email at ornl.gov
Joakim SundhResearcher, Uppsala UniversityVerified email at psyk.uu.se
Lucas CastilloUniversity of WarwickVerified email at warwick.ac.uk
Daphna BuchsbaumAssistant Professor, Brown UniversityVerified email at brown.edu
Johanna K. FalbénPost-Doctoral Researcher at University of AmsterdamVerified email at uva.nl
Irina PredaUniversity of EdinburghVerified email at ed-alumni.net
Frank JäkelTU DarmstadtVerified email at psychologie.tu-darmstadt.de
Verena KlarUniversity of OxfordVerified email at psy.ox.ac.uk
Karl S. RosengrenUniversity of RochesterVerified email at rochester.edu
Eugenio Herrera-BergCentro Nacional de Inteligencia ArtificialVerified email at cenia.cl

Pablo León-Villagrá

Brown University

Verified email at ed.ac.uk - Homepage

Cognitive Science Cognitive Development Probabilistic Models


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GPflow: A Gaussian process library using TensorFlow AGG Matthews, M Van Der Wilk, T Nickson, K Fujii, A Boukouvalas, P Le, ... Journal of Machine Learning Research 18 (40), 1-6, 2017	589	2017
Probabilistic biases meet the Bayesian brain N Chater, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, A Sanborn	56	2020
Data Availability and Function Extrapolation P León-Villagrá, I Preda, CG Lucas Proceedings of the Annual Meeting of the Cognitive Science Society 41 (41), 2018	11*	2018
Understanding the structure of cognitive noise JQ Zhu, P León-Villagrá, N Chater, AN Sanborn PLoS computational biology 18 (8), e1010312, 2022	9	2022
Uncovering Category Representations with Linked MCMC with people P León-Villagrá, K Otsubo, CG Lucas, D Buchsbaum	8	2020
Explaining the flaws in human random generation as local sampling with momentum L Castillo, P León-Villagrá, N Chater, A Sanborn PLOS Computational Biology 20 (1), e1011739, 2024	5	2024
Sampling in judgment and decision making K Fiedler, P Juslin, J Denrell Cambridge University Press, 2023	5	2023
Sampling as the human approximation to probabilistic inference A Sanborn, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, N Chater PsyArXiv, 2021	5	2021
Categorization and abstract similarity in chess P León-Villagrá, F Jakel Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013	5	2013
Noise in cognition: bug or feature? AN Sanborn, JQ Zhu, J Spicer, P León-Villagrá, L Castillo, JK Falbén, ... Perspectives on Psychological Science, 2024	4	2024
Exploring the Representation of Linear Functions P León-Villagrá, VS Klar, AN Sanborn, CG Lucas Proceedings of the Annual Meeting of the Cognitive Science Society 42 (42), 2019	4*	2019
Large Language Models are biased to overestimate profoundness E Herrera-Berg, TV Browne, P León-Villagrá, ML Vives, CB Calderon arXiv preprint arXiv:2310.14422, 2023	3	2023
Eliciting human beliefs using random generation P Leon Villagra, L Castillo, N Chater, A Sanborn Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022	3	2022
Local sampling with momentum accounts for human random sequence generation L Castillo, P Leon Villagra, N Chater, A Sanborn Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021	3	2021
Uncovering children’s concepts and conceptual change P Leon Villagra, I Ehrlich, C Lucas, D Buchsbaum Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022	2	2022
Generalizing Functions in Sparse Domains CG León-Villagrá, Pablo, Lucas Proceedings of the Annual Meeting of the Cognitive Science Society 42 (42), 2019	2*	2019
An introduction to psychologically plausible sampling schemes for approximating Bayesian inference JQ Zhu, N Chater, P León-Villagrá, J Spicer, J Sundh, A Sanborn Sampling in Judgment and Decision Making, 467, 2023	1	2023
Children's Notions of Biological Variability for Familiar and Unfamiliar Animals P Leon-Villagra, ON Mathiaparanam, K Rosengren, D Buchsbaum OSF, 2024		2024
People Need About Five Seconds to be Random: Autocorrelated Sampling Algorithms Can Explain Why L Castillo, P Leon Villagra, J Falben, N Chater, A Sanborn Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024		2024
Self induced framing as a cognitive strategy for decision-making ML Vives, P Leon Villagra Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024		2024

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