Kumar, Sreejan

A foundation model to predict and capture human cognition

Binz, M., Akata, E., Bethge, M., Brändle, F., Callaway, F., Coda-Forno, J., Dayan, P., Demircan, C., Eckstein, M. K., Éltető, N., et al. (2025) · Nature

Cognitive Science and Education ResearchDecision-Making and Behavioral Economics

Cited by 119

Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R., Cohen, J. D., Daw, N., Narasimhan, K., & Griffiths, T. (2022) · Advances in Neural Information Processing Systems 35

Natural Language Processing TechniquesMachine Learning and Algorithms

Cited by 10

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning

Kumar, S., Dasgupta, I., Daw, N. D., Cohen, J. D., & Griffiths, T. L. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 10

Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines

Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R. D., Daw, N. D., Cohen, J. D., Narasimhan, K., & Griffiths, T. L. (2022) · arXiv

Natural Language Processing TechniquesMachine Learning and Algorithms

Cited by 9