Siddarth Asokan
Hi! I’m a Research Software Development Engineer (RSDE) at the Microsoft Research Lab (MSRI) in Bangalore, India, as part of Manik Varma’s group, and currently exploring the world of text-based generative models (or Tiny/Small/Large Language Models, as people call them these days) in the context of eXtreme Classification. Previously, I was an interdisciplinary Direct-Ph.D. scholar at the Robert Bosch Center for Cyber-Physical Systems (RBCCPS) at the Indian Institute of Science, Bangalore. I worked at the Spectrum Lab in the Department of Electrical Engineering, under the supervision of Prof. Chandra Sekhar Seelamantula. Before that, I was at M.S. Ramaiah Institute of Technology (MSRIT), Bangalore, where I completed my Bachelors in Engineering in Electronics and Communications. Check out my full CV or publications. Amongst other things, I love photography and Misty, my doggo!!
My research interests are broadly in the area of machine learning and generative modeling, with a focus, during my Ph.D., on generative adversarial networks (GANs). My Ph.D. was on building theoretical foundations for analyzing GANs, leveraging insights from classical signal processing, and designing network architectures motivated by those findings. Recently, I’ve (like everyone else that worked with GANs) also been exploring score-based diffusion and normalizing-flow models!
Throughout my Ph.D. I’ve been graciously funded by the Microsoft Research Ph.D. Fellowship in 2018, the RBCCPS Ph.D. Fellowship in 2020-2021, and 2021-2022, and the Qualcomm Innovation Fellowship in 2019, 2021, 2022 and 2023!
Looking to collaborate or know more about my research?
Reach out to me at [FirstLetterOfFirstName][LastName] (at) microsoft (dot) com
news
Feb 06, 2024 | My Ph.D. Thesis was awarded the Prof. Satish Dhawan Research Award 2023! |
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Dec 14, 2023 | Two papers have been accepted to ICASSP 2024! .See you in Seoul, South Korea |
Nov 06, 2023 | Joined Microsoft Research Lab India as an RSDE! Looking forward to working on XC!! |
Sep 15, 2023 | Successfully defended my Ph.D. Thesis. |
Jun 30, 2023 | Selected as a Super-Winner for the Qualcomm Innovation Fellowship 2023! |
selected publications
- PhD ThesisOn the Optimality of Generative Adversarial Networks — A Variational PerspectiveIn partial fulfillment of the requirements for the Degree of Doctor of Philosophy, IISc , 2023
- ICASSP 24Momentum-imbued Langevin Dynamics (MILD) for Faster SamplingThe Proceedings on the IEEE International Conference of Acoustics, Speech and Signal Processing (ICASSP), 2024
- ICASSP 24Variational Analysis of Adversarial Regularization for Solving Inverse ProblemsThe Proceedings on the IEEE International Conference of Acoustics, Speech and Signal Processing (ICASSP), 2024