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Sreejan Kumar
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2020 – today
- 2024
- [i8]Carlos A. Velazquez-Vargas, Isaac Ray Christian, Jordan A. Taylor, Sreejan Kumar:
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning. CoRR abs/2402.03072 (2024) - [i7]Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths:
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR abs/2402.03618 (2024) - [i6]Declan Campbell, Sreejan Kumar, Tyler Giallanza, Thomas L. Griffiths, Jonathan D. Cohen:
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks. CoRR abs/2402.04203 (2024) - [i5]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 abs/2405.19420 (2024) - [i4]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, Li Ji-An, 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 Wilson, Kristin Witte, Shuchen Wu, Dirk Wulff, Huadong Xiong, Eric Schulz:
Centaur: a foundation model of human cognition. CoRR abs/2410.20268 (2024) - 2023
- [j2]Sreejan Kumar
, Ishita Dasgupta, Nathaniel D. Daw
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. PLoS Comput. Biol. 19(8) (2023) - 2022
- [c2]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 - [i3]Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. CoRR abs/2204.01437 (2022) - [i2]Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR abs/2205.11558 (2022) - 2021
- [c1]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 - 2020
- [j1]Sreejan Kumar
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. PLoS Comput. Biol. 16(12) (2020) - [i1]Sreejan Kumar
Meta-Learning of Compositional Task Distributions in Humans and Machines. CoRR abs/2010.02317 (2020)
Coauthor Index
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