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 (with Tiny/Small/Large Language Models, as people call them these days) in the context of eXtreme Classification and large-scale information retrieval. 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!!. If you’d like to see my journey through the lens, be sure to check out this dedicated page I’ve created for it. For a summary of my biography, to use for public-facing documents, click here
My research interests are broadly in the area of machine learning and generative modeling. Currently, at MSR, my focus is on generative information retrieval models, and on methods to make them low-latency and accurate, by leveraging world knowledge. During my Ph.D., my focus was on generative adversarial networks (GANs), and particularly on building theoretical foundations for analyzing GANs, leveraging insights from classical signal processing, and designing network architectures motivated by those findings. As my Ph.D. concluded, I (like everyone else that worked with GANs) also explored 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! My Ph.D. Thesis has also received the Prof. Satish Dhawan Research Award and the Indian Unit of Pattern Recognition and AI (IUPRAI) Doctoral Dissertation Awards.
Looking to collaborate or know more about my research?
Reach out to me at [Firstname].[Lastname] (at) microsoft (dot) com
news
Dec 13, 2024 | My Ph.D. Thesis was awarded the IUPRAI Doctoral Dissertation Award! |
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Nov 14, 2024 | Honored to receive the IEI Young Engineers' Award 24-25!! |
Oct 10, 2024 | One paper accepted to the NeurIPS 2024 ENLSP Workshop! |
Oct 07, 2024 | One paper accepted to the EMNLP WiNLP 2024 Workshop! |
May 17, 2024 | One paper accepted to ACM KDD 2024! |