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:
Communicating semantic part information in drawings.
Context matters: A theory of semantic discriminability for perceptual encoding systems
Finding meaning in simple sketches: How do humans and deep networks compare?
From Images to Symbols: Drawing as a Window into the Mind
Mapping a low-dimensional space for color-concept associations
How does task structure shape representations in deep neural networks?