| 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 | 574 | 2017 |
| Probabilistic biases meet the Bayesian brain N Chater, JQ Zhu, J Spicer, J Sundh, P León-Villagrá, A Sanborn | 52 | 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 | 10* | 2018 |
| Understanding the structure of cognitive noise JQ Zhu, P León-Villagrá, N Chater, AN Sanborn PLoS computational biology 18 (8), e1010312, 2022 | 8 | 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 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 |
| Sampling in judgment and decision making K Fiedler, P Juslin, J Denrell Cambridge University Press, 2023 | 4 | 2023 |
| 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 |
| Noise in cognition: bug or feature? AN Sanborn, JQ Zhu, J Spicer, P León-Villagrá, L Castillo, JK Falbén, ... Perspectives on Psychological Science, 2024 | 3 | 2024 |
| 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 |
| 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 | 1 | 2023 |
| 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 |
| Generalizing Functions in Sparse Domains CG León-Villagrá, Pablo, Lucas Proceedings of the Annual Meeting of the Cognitive Science Society 42 (42), 2019 | 1* | 2019 |
| 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 |
Adam SanbornProfessor, Department of Psychology, University of Warwick在 warwick.ac.uk 的电子邮件经过验证
