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Interview with Chetan Arora, Associate Professor, IIT Delhi, India

Chetan Arora is an Associate Professor with Computer Science Department at IIT Delhi. He received Ph.D. in Computer Science and B.Tech in Electrical Engineering, both from IIT Delhi in 2012 and 1999 respectively. He did his Post Doctoral Research with Prof. Shmuel Peleg from 2012-2014 in Hebrew University, Israel.  Prior to joining IIT Delhi, he was an Assistant Professor with IIIT Delhi.

How can we use tools from signal processing to understand better neural networks?

Deep neural networks achieve state-of-the-art performance in many domains in signal processing. The main practice is getting pairs of examples, input, and its desired output, and then training a network to produce the same outputs with the goal that it will learn how to generalize also to new unseen data, which is indeed  the case in many scenarios.