Ph.D. Candidacy Exam
I passed my Candidacy exam! Here are the slides (dense version): A-Exam Slides
Interpretable Models for Artificial Neural Networks
Our manuscript on interpretable AI is on arXiv! In this paper, we demonstrate that deep CNNs for image classification can be modeled (in terms of necessary and sufficient conditions) to rationally inattentive utility maximizers, ...
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IEEE TAES Paper Acceptance
Our work “Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference” got accepted for publication in IEEE Transactions in Aerospace and Electronics Systems.
JMLR Paper Acceptance
Our work “Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior” got accepted for publication in the Journal of Machine Learning Research (JMLR).
Sloan-NOMIS Conference on Attention and Applied Economics
I was fortunate to present our work at the 2020 Sloan-NOMIS Conference on Attention and Applied Economics with my advisor, Dr. Vikram Krishnamurthy. Our work involved the use of information economics tools on identifying ...
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