Eero Simoncelli is a Professor of Neural Science, Mathematics, Data Science, and Psychology at New York University. His research focuses on representation and analysis of visual information.
Eero's PhD thesis is titled "Distributed Representation & Analysis of Visual Motion", which he completed in 1993 at MIT. We discuss his PhD work which focused on optical flow, which ideas and methods have stayed with him throughout his career, making biological connections with machine learning models, and how Eero's perspective of vision has evolved.
Episode notes: https://cs.nyu.edu/~welleck/episode18.html
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