Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction. - Kevin Ellis; Lucas Morales; Mathias Sablé-Meyer; Armando Solar-Lezama; Josh Tenenbaum 001 (NeurIPS, 2018)

Assessing the role of matching bias in reasoning with disjunctions. - Mathias Sablé-Meyer; Salvador Mascarenhas (CogSci, 2019)

Modeling Expertise with Neurally-Guided Bayesian Program Induction. - Catherine Wong; Kevin Ellis; Mathias Sablé-Meyer; Josh Tenenbaum 001 (CogSci, 2019)

Learning sequential patterns from graphical programs. - Anselm Rothe; Eric Schulz; Mathias Sablé-Meyer; Josh Tenenbaum 001; Azzurra Ruggeri (CogSci, 2020)

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. - Kevin Ellis; Catherine Wong; Maxwell I. Nye; Mathias Sablé-Meyer; Luc Cary; Lucas Morales; Luke B. Hewitt; Armando Solar-Lezama; Joshua B. Tenenbaum (CoRR, 2020)

Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity. - Mathias Sablé-Meyer; Joël Fagot; Serge Caparos; Timo van Kerkoerle; Marie Amalric; Stanislas Dehaene (CogSci, 2021)

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. - Kevin Ellis; Catherine Wong; Maxwell I. Nye; Mathias Sablé-Meyer; Lucas Morales; Luke B. Hewitt; Luc Cary; Armando Solar-Lezama; Joshua B. Tenenbaum (PLDI, 2021)

An explanation of representativeness: contrastive confirmation-theoretical reasoning motivated by question-answering dynamics. - Janek Guerrini; Mathias Sablé-Meyer; Salvador Mascarenhas (CogSci, 2022)

Marks and Meanings: new perspectives on the evolution of human symbolic behavior. - Kristian Tylén; Mathias Sablé-Meyer; Judith E. Fan; Michelle C. Langley (CogSci, 2023)

Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models. - Christos-Nikolaos Zacharopoulos; Théo Desbordes; Mathias Sablé-Meyer (EMNLP, 2023)