Meta-Learning of Compositional Task Distributions in Humans and Machines. - Sreejan Kumar; Ishita Dasgupta 001; Jonathan D. Cohen 003; Nathaniel D. Daw; Thomas L. Griffiths 001 (CoRR, 2020)

Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. - Sreejan Kumar; Cameron T. Ellis; Thomas P. O'Connell; Marvin M. Chun; Nicholas B. Turk-Browne (PLoS Comput. Biol., 2020)

Meta-Learning of Structured Task Distributions in Humans and Machines. - Sreejan Kumar; Ishita Dasgupta 001; Jonathan D. Cohen 003; Nathaniel D. Daw; Thomas L. Griffiths 001 (ICLR, 2021)

Using natural language and program abstractions to instill human inductive biases in machines. - Sreejan Kumar; Carlos G. Correa; Ishita Dasgupta 001; Raja Marjieh; Michael Y. Hu; Robert D. Hawkins; Jonathan D. Cohen 003; Nathaniel D. Daw; Karthik Narasimhan; Tom Griffiths 001 (NeurIPS, 2022)

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. - Sreejan Kumar; Ishita Dasgupta 001; Raja Marjieh; Nathaniel D. Daw; Jonathan D. Cohen 003; Thomas L. Griffiths 001 (CoRR, 2022)

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. - Sreejan Kumar; Ishita Dasgupta 001; Nathaniel D. Daw; Jonathan D. Cohen 003; Thomas L. Griffiths 001 (PLoS Comput. Biol., 2023)

Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning. - Carlos A. Velazquez-Vargas; Isaac Ray Christian; Jordan A. Taylor; Sreejan Kumar (CoRR, 2024)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. - Sreejan Kumar; Raja Marjieh; Byron Zhang; Declan Campbell; Michael Y. Hu; Umang Bhatt; Brenden M. Lake; Thomas L. Griffiths 001 (CoRR, 2024)

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. - Declan Campbell; Sreejan Kumar; Tyler Giallanza; Thomas L. Griffiths 001; Jonathan D. Cohen 003 (CoRR, 2024)

Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases. - Raja Marjieh; Sreejan Kumar; Declan Campbell; Liyi Zhang; Gianluca M. Bencomo; Jake Snell; Thomas L. Griffiths 001 (CoRR, 2024)

Centaur: a foundation model of human cognition. - Marcel Binz; Elif Akata; Matthias Bethge; Franziska Brändle; Fred Callaway; Julian Coda-Forno; Peter Dayan; Can Demircan; Maria K. Eckstein; Noémi Élteto; Thomas L. Griffiths 001; Susanne Haridi; et al. (CoRR, 2024)