Pablo León-Villagrá

Orcid: 0000-0002-2709-7602

According to our database1, Pablo León-Villagrá authored at least 21 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Explaining the flaws in human random generation as local sampling with momentum.
PLoS Comput. Biol., January, 2024

2023
Large Language Models are biased to overestimate profoundness.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Charting children's fruit categories with Markov-Chain Monte Carlo with People.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

The Impact of Production Rates on Sequential Statistics and Distributional Properties in Random Generation.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Understanding the structure of cognitive noise.
PLoS Comput. Biol., 2022

Uncovering Childrens' Category Representations with MCMCP.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Uncovering children's concepts and conceptual change.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Eliciting Human Beliefs using Random Generation.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Sampling as the Human Approximation to Probabilistic Inference.
Proceedings of the Human-Like Machine Intelligence., 2022

2021
Recovering human category structure across development using sparse judgments.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Sampling Associations with (Un)related Suggestions.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Local Sampling with Momentum Accounts for Human Random Sequence Generation.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Representational principles of function generalization
PhD thesis, 2020

Uncovering Category Representations with Linked MCMC with People.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Exploring Category Structure in Children and Adults.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Generalizing Functions in Sparse Domains.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Exploring the Representation of Linear Functions.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Data Availability and Function Extrapolation.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
GPflow: A Gaussian Process Library using TensorFlow.
J. Mach. Learn. Res., 2017

Identifying Causal Direction in the Two-Variable Case.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2013
Categorization and Abstract Similarity in Chess.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013


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