Siddharth Suresh


Siddharth’s research interests lie in the confluence of cognitive science and machine learning. In the lab, he is currently looking at understanding how humans represent concepts and in building more robust vision models using human semantic norms. In his free time, you can find him with his guitar – singing and writing songs, reading or playing a game of table tennis.








Suresh, S., Mukherjee, K., & Rogers, T. T. (2023). Can deep convolutional networks explain the semantic structure that humans see in photographs?. Journal of Vision, 23(9), 5634-5634.

Suresh, S., Mukherjee, K., Yu, X., Huang, W.-C., Padua, L., & Rogers, T. T. (2023). Conceptual structure coheres in human cognition but not in large language models. arXiv preprint arXiv:2304.02754.

Suresh, S., Mukherjee, K., & Rogers, T. T. (2023). Semantic feature verification in FLAN-T5.

Mukherjee, K., Suresh, S., & Rogers, T. T. (2023). Human-machine cooperation for semantic feature listing.