Sreejan Kumar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Pattern Matching

Trained Neural Networks

Top Venues

PLoS Comput. Biol.

Publications

Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR (2024)
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR (2024)
Raja Marjieh, Sreejan Kumar, Declan Campbell, Liyi Zhang, Gianluca M. Bencomo, Jake Snell, Thomas L. Griffiths
Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases. CoRR (2024)
Carlos A. Velazquez-Vargas, Isaac Ray Christian, Jordan A. Taylor, Sreejan Kumar
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning. CoRR (2024)
Sreejan Kumar, Ishita Dasgupta, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. PLoS Comput. Biol. 19 (8) (2023)
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS (2022)
Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. CoRR (2022)
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR (2022)
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
Meta-Learning of Structured Task Distributions in Humans and Machines. ICLR (2021)
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
Meta-Learning of Compositional Task Distributions in Humans and Machines. CoRR (2020)
Sreejan Kumar, Cameron T. Ellis, Thomas P. O'Connell, Marvin M. Chun, Nicholas B. Turk-Browne
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. PLoS Comput. Biol. 16 (12) (2020)