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Pablo León-Villagrá
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2020 – today
- 2024
- [j3]Lucas Castillo
, Pablo León-Villagrá
Explaining the flaws in human random generation as local sampling with momentum. PLoS Comput. Biol. 20(1) (2024) - [e1]Pablo León-Villagrá, Xue Li:
Proceedings of the International Workshop on Cognitive AI 2023 co-located with the 3rd International Conference on Learning & Reasoning (IJCLR 2023), Bari, Italy, 13-15 November 2023. CEUR Workshop Proceedings 3644, CEUR-WS.org 2024 [contents] - 2023
- [c16]Pablo León-Villagrá, Lucas Castillo, Nick Chater, Adam Sanborn:
The Impact of Production Rates on Sequential Statistics and Distributional Properties in Random Generation. CogSci 2023 - [c15]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Charting children's fruit categories with Markov-Chain Monte Carlo with People. CogSci 2023 - [c14]Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc-Lluís Vives, Cristian Buc Calderon:
Large Language Models are biased to overestimate profoundness. EMNLP 2023: 9653-9661 - [i1]Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc-Lluís Vives, Cristian Buc Calderon:
Large Language Models are biased to overestimate profoundness. CoRR abs/2310.14422 (2023) - 2022
- [j2]Jian-Qiao Zhu
Understanding the structure of cognitive noise. PLoS Comput. Biol. 18(8) (2022) - [c13]Pablo León-Villagrá, Lucas Castillo, Nick Chater, Adam Sanborn:
Eliciting Human Beliefs using Random Generation. CogSci 2022 - [c12]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Uncovering children's concepts and conceptual change. CogSci 2022 - [c11]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Uncovering Childrens' Category Representations with MCMCP. CogSci 2022 - [p1]Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater:
Sampling as the Human Approximation to Probabilistic Inference. Human-Like Machine Intelligence 2022: 430-448 - 2021
- [c10]Lucas Castillo, Pablo León-Villagrá, Nicholas Chater, Adam Sanborn:
Local Sampling with Momentum Accounts for Human Random Sequence Generation. CogSci 2021 - [c9]Pablo León-Villagrá, Nicholas Chater, Adam Sanborn:
Sampling Associations with (Un)related Suggestions. CogSci 2021 - [c8]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Recovering human category structure across development using sparse judgments. CogSci 2021 - 2020
- [b1]Pablo León-Villagrá:
Representational principles of function generalization. University of Edinburgh, UK, 2020 - [c7]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Exploring Category Structure in Children and Adults. CogSci 2020 - [c6]Pablo León-Villagrá, Kay Otsubo, Chris Lucas, Daphna Buchsbaum:
Uncovering Category Representations with Linked MCMC with People. CogSci 2020
2010 – 2019
- 2019
- [c5]Pablo León-Villagrá, Verena Klar, Adam Sanborn, Chris Lucas:
Exploring the Representation of Linear Functions. CogSci 2019: 2105-2111 - [c4]Pablo León-Villagrá, Chris Lucas:
Generalizing Functions in Sparse Domains. CogSci 2019: 2112-2118 - 2018
- [c3]Pablo León-Villagrá, Irina Preda, Christopher Lucas:
Data Availability and Function Extrapolation. CogSci 2018 - 2017
- [j1]Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman:
GPflow: A Gaussian Process Library using TensorFlow. J. Mach. Learn. Res. 18: 40:1-40:6 (2017) - [c2]Pablo León-Villagrá, Christopher Lucas:
Identifying Causal Direction in the Two-Variable Case. CogSci 2017 - 2013
- [c1]Pablo León-Villagrá, Frank Jäkel:
Categorization and Abstract Similarity in Chess. CogSci 2013
Coauthor Index
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