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2020 – today
- 2023
[c9]Kristian Tylén, Mathias Sablé-Meyer, Judith E. Fan, Michelle C. Langley:
Marks and Meanings: new perspectives on the evolution of human symbolic behavior. CogSci 2023- [c8]Christos-Nikolaos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer:
Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models. EMNLP 2023: 16081-16090 - [i2]Christos-Nikolaos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer
:
Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models. CoRR abs/2311.16978 (2023) - 2022
- [c7]Janek Guerrini, Mathias Sablé-Meyer, Salvador Mascarenhas:
An explanation of representativeness: contrastive confirmation-theoretical reasoning motivated by question-answering dynamics. CogSci 2022 - 2021
- [c6]Mathias Sablé-Meyer, Joël Fagot, Serge Caparos, Timo van Kerkoerle, Marie Amalric, Stanislas Dehaene:
Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity. CogSci 2021 - [c5]Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum:
DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. PLDI 2021: 835-850 - 2020
- [c4]Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri:
Learning sequential patterns from graphical programs. CogSci 2020 - [i1]Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke B. Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum:
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. CoRR abs/2006.08381 (2020)
2010 – 2019
- 2019
- [c3]Catherine Wong, Kevin Ellis, Mathias Sablé-Meyer, Josh Tenenbaum:
Modeling Expertise with Neurally-Guided Bayesian Program Induction. CogSci 2019: 3114 - [c2]Mathias Sablé-Meyer, Salvador Mascarenhas:
Assessing the role of matching bias in reasoning with disjunctions. CogSci 2019: 3351 - 2018
- [c1]Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Josh Tenenbaum:
Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction. NeurIPS 2018: 7816-7826
Coauthor Index
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