Pablo León-Villagrá

30 papers A* 1B 22Journal 4

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Examining Individual Differences in Within-Category Variability Reasoning. CogSci Olympia N. Mathiaparanam, Pablo León-Villagrá, Daphna Buchsbaum, Karl S. Rosengren
2025	B	`conf`	Resource-rational belief revision can mitigate as well as amplify polarization. CogSci Rebekah Gelpi, Pablo León-Villagrá, William A. Cunningham, Christopher Guy Lucas, Daphna Buchsbaum
2025	B	`conf`	The emergence of flexible perspective reasoning in large language models. CogSci Pablo León-Villagrá, Tiana V. Simovic, Craig G. Chambers
2024	J	`jnl`	Explaining the flaws in human random generation as local sampling with momentum. PLoS Comput. Biol. Lucas Castillo, Pablo León-Villagrá, Nick Chater, Adam Sanborn
2024	B	`conf`	How Red Is a Ladybeetle? Examining People's Notions of Biological Variability. CogSci Pablo León-Villagrá, Olympia N. Mathiaparanam, Karl S. Rosengren, Daphna Buchsbaum
2024	B	`conf`	People Need About Five Seconds to be Random: Autocorrelated Sampling Algorithms Can Explain Why. CogSci Lucas Castillo, Pablo León-Villagrá, Johanna Falben, Nick Chater, Adam Sanborn
2024	—	`ed.`	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. CogAI@IJCLR Pablo León-Villagrá, Xue Li
2024	B	`conf`	Randomly Generating Stereotypes: Can We Understand Implicit Attitudes with Random Generation? CogSci Johanna Falben, Lucas Castillo, Pablo León-Villagrá, Nick Chater, Adam Sanborn
2024	B	`conf`	Self induced framing as a cognitive strategy for decision-making. CogSci Marc-Lluís Vives, Pablo León-Villagrá
2023	B	`conf`	Charting children's fruit categories with Markov-Chain Monte Carlo with People. CogSci Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
2023	A*	`conf`	Large Language Models are biased to overestimate profoundness. EMNLP Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc-Lluís Vives, Cristian Buc Calderon
2023	J	`jnl`	Large Language Models are biased to overestimate profoundness. CoRR Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc-Lluís Vives, Cristian Buc Calderon
2023	B	`conf`	The Impact of Production Rates on Sequential Statistics and Distributional Properties in Random Generation. CogSci Pablo León-Villagrá, Lucas Castillo, Nick Chater, Adam Sanborn
2022	B	`conf`	Eliciting Human Beliefs using Random Generation. CogSci Pablo León-Villagrá, Lucas Castillo, Nick Chater, Adam Sanborn
2022	—	`ch.`	Sampling as the Human Approximation to Probabilistic Inference. Human-Like Machine Intelligence Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater
2022	B	`conf`	Uncovering Childrens' Category Representations with MCMCP. CogSci Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
2022	B	`conf`	Uncovering children's concepts and conceptual change. CogSci Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
2022	J	`jnl`	Understanding the structure of cognitive noise. PLoS Comput. Biol. Jian-Qiao Zhu, Pablo León-Villagrá, Nick Chater, Adam N. Sanborn
2021	B	`conf`	Local Sampling with Momentum Accounts for Human Random Sequence Generation. CogSci Lucas Castillo, Pablo León-Villagrá, Nicholas Chater, Adam Sanborn
2021	B	`conf`	Recovering human category structure across development using sparse judgments. CogSci Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
2021	B	`conf`	Sampling Associations with (Un)related Suggestions. CogSci Pablo León-Villagrá, Nicholas Chater, Adam Sanborn
2020	B	`conf`	Exploring Category Structure in Children and Adults. CogSci Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
2020	—	`—`	Representational principles of function generalization Pablo León-Villagrá
2020	B	`conf`	Uncovering Category Representations with Linked MCMC with People. CogSci Pablo León-Villagrá, Kay Otsubo, Chris Lucas, Daphna Buchsbaum
2019	B	`conf`	Exploring the Representation of Linear Functions. CogSci Pablo León-Villagrá, Verena Klar, Adam Sanborn, Chris Lucas
2019	B	`conf`	Generalizing Functions in Sparse Domains. CogSci Pablo León-Villagrá, Chris Lucas
2018	B	`conf`	Data Availability and Function Extrapolation. CogSci Pablo León-Villagrá, Irina Preda, Christopher Lucas
2017	J	`jnl`	GPflow: A Gaussian Process Library using TensorFlow. J. Mach. Learn. Res. Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman
2017	B	`conf`	Identifying Causal Direction in the Two-Variable Case. CogSci Pablo León-Villagrá, Christopher Lucas
2013	B	`conf`	Categorization and Abstract Similarity in Chess. CogSci Pablo León-Villagrá, Frank Jäkel