Shared functional specialization in transformer-based language models and the human brain S Kumar, TR Sumers, T Yamakoshi, A Goldstein, U Hasson, KA Norman, ... Nature Communications, 2024 | 45* | 2024 |
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines S Kumar, CG Correa, I Dasgupta, R Marjieh, MY Hu, RD Hawkins, ... Neural Information Processing Systems (NeurIPS), 2022 | 29 | 2022 |
Meta-Learning of Structured Task Distributions in Humans and Machines S Kumar, I Dasgupta, JD Cohen, ND Daw, TL Griffiths International Conference of Learning Representations (ICLR) 2021, 2021 | 24* | 2021 |
An information network flow approach for measuring functional connectivity and predicting behavior S Kumar, K Yoo, MD Rosenberg, D Scheinost, RT Constable, S Zhang, ... Brain and behavior 9 (8), e01346, 2019 | 15 | 2019 |
Disentangling abstraction from statistical pattern matching in human and machine learning S Kumar, I Dasgupta, ND Daw, JD Cohen, TL Griffiths PLoS computational biology 19 (8), e1011316, 2023 | 11 | 2023 |
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain S Kumar, CT Ellis, TP O’Connell, MM Chun, NB Turk-Browne PLOS Computational Biology 16 (12), e1008457, 2020 | 10 | 2020 |
Relational Constraints On Neural Networks Reproduce Human Biases towards Abstract Geometric Regularity D Campbell, S Kumar, T Giallanza, JD Cohen, TL Griffiths arXiv preprint arXiv:2309.17363, 2023 | 2 | 2023 |
On the hazards of relating representations and inductive biases TL Griffiths, S Kumar, RT McCoy Behavioral and Brain Sciences 46, 2023 | 2 | 2023 |
Using Contrastive Learning with Generative Similarity to Learn Spaces that Capture Human Inductive Biases R Marjieh, S Kumar, D Campbell, L Zhang, G Bencomo, J Snell, ... arXiv preprint arXiv:2405.19420, 2024 | | 2024 |
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction S Kumar, R Marjieh, B Zhang, D Campbell, MY Hu, U Bhatt, B Lake, ... ICLR 2024 Workshop on Representational Alignment, 2024 | | 2024 |
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks D Campbell, S Kumar, T Giallanza, TL Griffiths, JD Cohen Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning CA Velazquez-Vargas, IR Christian, JA Taylor, S Kumar Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
Using Natural Language to Guide Meta-Learning Agents towards Human-like Inductive Biases S Kumar, I Dasgupta, M Hu, R Marjieh, RD Hawkins, N Daw, J Cohen, ... ACL Workshop on Learning with Natural Language Supervision, 2022 | | 2022 |