Sreejan Kumar

According to our database, Sreejan Kumar authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Visual serial processing deficits explain divergences in human and VLM reasoning.

Nicholas Budny, Kia Ghods, Declan Campbell, Raja Marjieh, Amogh Joshi, Sreejan Kumar, Jonathan D. Cohen, Taylor W. Webb, Thomas L. Griffiths

CoRR, September, 2025

A foundation model to predict and capture 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, 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

Nat., August, 2025

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, 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

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

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

CoRR, 2024

Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning.

Carlos A. Velázquez-Vargas, Isaac Ray Christian, Jordan A. Taylor, Sreejan Kumar

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Comparing Abstraction in Humans and Machines Using Multimodal Serial Reproduction.

Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Tom Griffiths

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks.

Declan I. Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan Cohen, Tom Griffiths

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

Sreejan Kumar, Ishita Dasgupta, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths

PLoS Comput. Biol., 2023

2022

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths

CoRR, 2022

Using natural language and program abstractions to instill human inductive biases in machines.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Meta-Learning of Structured Task Distributions in Humans and Machines.

Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths

Proceedings of the 9th International Conference on Learning Representations, 2021

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 Compositional Task Distributions in Humans and Machines.

Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths

CoRR, 2020