Research

I got privileged to collaborate with several folks over the years who shaped my research journey and am grateful for each one of them, especially during my Masters at UW-Madison. Below is the list of publications and folks I have collaborated with!

Mentors/collaborators

Grateful for every single person from Fred's lab, especially Harit Vishwakarma, Nicholas Roberts, Sonia Cromp, Albert Ge, Jitian Zhao, Changho Shin for providing an opportunity to work on their papers.

Others (in no particular order):

Checkout Research Journey (Unfiltered) page to understand my research journey.

(C) - Conference, (W) - Workshop, (J) - Journal

Publications

  • Linguistic Properties and Model Scale in Brain Encoding: From Small to Compressed Language Models
    Subba Reddy Oota, Vijay Rowtula, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Anant Khandelwal, Manish Gupta, Tanmoy Chakraborty, Bapi Raju Surampudi
    Under Review

  • Compressed but Compromised? A Study of Jailbreaking in Compressed LLMs
    Satya Sai Srinath Namburi, Alex James Boyd, Andrew Warrington
    (W) Lock-LLM Workshop at NeurIPS 2025.
    OpenReview | X | Blogpost

  • Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain
    Subba Reddy Oota, Khushbu Pahwa, Prachi Jindal, Satya Sai Srinath Namburi, Maneesh Singh, Tanmoy Chakraborty, Bapi S. Raju, Manish Gupta
    Under Review
    Arxiv

  • LETS Forecast: Learning Embedology for Time Series Forecasting
    Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Nada Magdi Elkordi, Yin Li
    (C) International Conference on Machine Learning (ICML), 2025
    Arxiv | Project Page | Github | OpenReview | BlogPost

  • Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
    Harit Vishwakarma, Reid (Yi) Chen, Srinath Namburi, Sui Jiet Tay, Ramya K. Vinayak, Frederic Sala
    (C) International Conference on Machine Learning (ICML), 2025
    (W) NeurIPS 2024 Workshop on Self-Supervised Learning - Theory and Practice, 2024
    (W) ICML 2024 Workshop on Data-centric Machine Learning (DMLR)
    OpenReview | Paper | ShortTalk | Github | BlogPost

  • Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
    Subba Reddy Oota, Akshett Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi, Manish Shrivastava, Maneesh Singh, Bapi S. Raju, Manish Gupta
    (C) International Conference on Learning Representations (ICLR), 2025
    OpenReview | Arxiv

  • Tabby: Tabular Adaptation for Language Models
    Sonia Cromp, Satya Sai Srinath Namburi GNVV, Catherine Cao, Mohammed Alkhudhayri, Samuel Guo, Nicholas Roberts, Frederic Sala
    (J) Transactions on Machine Learning Research (TMLR) 2026
    (W) NeurIPS 2024 Workshop on Table Representation Learning (TRL)
    OpenReview | Arxiv | Blog | Github Code

  • RICA^2: Rubric-Informed, Calibrated Assessment of Actions
    Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li
    (C) European Conference on Computer Vision (ECCV), 2024
    Project Page | Arxiv | BlogPost

  • The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
    Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan, Frederic Sala
    (C) Empirical Methods in Natural Language Processing (EMNLP Findings), 2023
    (W) NeurIPS 2023 Efficient Natural Language and Speech Processing (ENLSP)
    Arxiv | Github Code

  • Enhancing Cartographic Design using Artificial Neural Network: A Geometric Approach for Map Generalization
    Siddharth Ramavajjala, Srinath Namburi, Ramakrishna Gangaraju
    (C) North American Cartographic Information Society (NACIS)
    Youtube | Github Code

  • NITCAD - Developing an object detection, classification and stereovision dataset for autonomous navigation in Indian roads
    Namburi GNVV Satya Sai Srinath, Athul Zac Joseph, Ch. Lakshmi Priyanka, Malavika Nair M, S Umamaheswaran, Praveen Sankaran
    (C) Third International Conference on Computing and Network Communications (CoCoNet), 2019.
    Paper | Blog | Google Form (to access dataset) | GitHub Code

  • Stereo Vision Based Speed Estimation for Autonomous Driving
    S Umamaheswaran, Malavika Nair M, Athul Zac Joseph, Namburi GNVV Satya Sai Srinath, Ch. Lakshmi Priyanka, Praveen Sankaran
    (C) 18th International Conference on Information Technology (ICIT), 2019.
    Paper | GitHub Code

  • Android Based Control of Transmission line Robot for Traversing Through Straight line and Crossing of Tower Junctions
    Shruthi C M, Namburi GNVV Satya Sai Srinath, G Vijay Vamsi, Sudheer A P, Joy M L
    (J) International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8 Issue-6, April 2019.
    Paper | Github Code.

Service

Served as a reviewer for

  • International Conference on Learning Representations (ICLR)
    2026, 2025

  • Association for the Advancement of Artificial Intelligence (AAAI)
    2025

  • ARR for Association for Computational Linguistics (ACL)
    May 2025, Jan 2025, June 2024

  • Computer Vision and Pattern Recognition (CVPR)
    2026, 2025

Workshops

  • Mechanistic Interpretability (MI) at NeurIPS 2025.

  • Long Context Foundational Models (LCFM) at ICML 2025.

  • Efficient Systems for Foundation Models (ES-FoMo-II) at ICML 2024.

  • Efficient Natural Language and Speech Processing (ENLSP) at NeurIPS 2023, 2024.

  • Algorithmic Fairness through the Lens of Metrics and Evaluation (AFME) at NeurIPS 2022, 2023, 2024.