My primary interest is in the nature of visual concepts. How are they learned? Why are they useful? Can machines be taught these concepts? I study drawings as a means to answer these questions.
I’m affiliated with the Knowledge and Concepts Lab, Schloss Visual Reasoning Lab, Austerweil Lab, and the Wisconsin Institute for Discovery. I grew up in Kolkata, India, a bustling city with hot summers and torrential monsoons. Noticing a distinct lack of snow in my climate collection, I moved to upstate New York, where I received my BA in Cognitive Science and Japanese from Vassar College.
While at Vassar, I was advised by Ken Livingston and Josh de Leeuw. I also spent a summer at the Computation and Cognition Lab at Stanford University as a CSLI intern, working with Judy Fan and Robert Hawkins.
Personal website:
https://kushinm.github.io/
Twitter:
@kushin_m
Research:
Mukherjee, K., Suresh, S., & Rogers, T. T. (2023). Human-machine cooperation for semantic feature listing.
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., Huey H., Rogers, T. T., & Fan J.E. (2022). From Images to Symbols: Drawing as a Window into the Mind. Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44)
Mukherjee, K., Rogers, T. T., Lessard L., Gleicher M.B., & Schloss K.B. (2021). Mapping a low-dimensional space for color-concept associations. Vision Research 151, 99-116
Mukherjee, K., Yin B., Sherman B.E., Lessard L., & Schloss K.B. (2021). Context matters: A theory of semantic discriminability for perceptual encoding systems. IEEE Transactions on Visualization and Computer Graphics 28 (1), 697-706
Mukherjee, K. & Rogers, T. T. (2020). Finding meaning in simple sketches: How do humans and deep networks compare? Journal of Vision 20 (11), 1026-1026
Mukherjee, K. & Rogers, T. T. (2020). How does task structure shape representations in deep neural networks? NeurIPS 2020 Workshop SVRHM
Mukherjee, K., Hawkins R.X.D., & Fan J.W. (2019). Communicating semantic part information in drawings. CogSci, 2413-2419