Sreejan Kumar

17 papers A* 2B 3Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A foundation model to predict and capture human cognition.
Nat.
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, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2025 J jnl
Visual serial processing deficits explain divergences in human and VLM reasoning.
CoRR
Nicholas Budny, Kia Ghods, Declan Campbell, Raja Marjieh, Amogh Joshi, Sreejan Kumar, Jonathan D. Cohen, Taylor W. Webb, Thomas L. Griffiths
2024 J jnl
Centaur: a foundation model of human cognition.
CoRR
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, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2024 J jnl
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction.
CoRR
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths
2024 B conf
Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction.
CogSci
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths
2024 B conf
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks.
CogSci
Declan I. Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan Cohen, Tom Griffiths
2024 J jnl
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks.
CoRR
Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen
2024 B conf
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning.
CogSci
Carlos A. Velázquez-Vargas, Isaac Ray Christian, Jordan A. Taylor, Sreejan Kumar
2024 J jnl
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning.
CoRR
Carlos A. Velázquez-Vargas, Isaac Ray Christian, Jordan A. Taylor, Sreejan Kumar
2024 J jnl
Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases.
CoRR
Raja Marjieh, Sreejan Kumar, Declan Campbell, Liyi Zhang, Gianluca M. Bencomo, Jake Snell, Thomas L. Griffiths
2023 J jnl
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.
PLoS Comput. Biol.
Sreejan Kumar, Ishita Dasgupta, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2022 J jnl
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.
CoRR
Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
2022 J jnl
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines.
CoRR
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
2022 A* conf
Using natural language and program abstractions to instill human inductive biases in machines.
NeurIPS
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
2021 A* conf
Meta-Learning of Structured Task Distributions in Humans and Machines.
ICLR
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2020 J jnl
Meta-Learning of Compositional Task Distributions in Humans and Machines.
CoRR
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
2020 J jnl
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain.
PLoS Comput. Biol.
Sreejan Kumar, Cameron T. Ellis, Thomas P. O'Connell, Marvin M. Chun, Nicholas B. Turk-Browne