Research

I got privileged to collaborate with several folks over the years who shaped my research journey, especially during my Masters at UW-Madison. I enjoy doing research and am grateful for a lot of folks who shaped my journey and made it possible to who I am today. Below is the list of publications and folks I have collaborated with!

Mentors/collaborators

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

Publications

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

  • PabLO: Improving Semi-Supervised Learning with Pseudolabeling Optimization
    Harit Vishwakarma, Reid (Yi) Chen, Srinath Namburi, Sui Jiet Tay, Ramya K. Vinayak, Frederic Sala
    NeurIPS 2024 Workshop on Self-Supervised Learning - Theory and Practice, 2024
    ICML 2024 Workshop on Data-centric Machine Learning (DMLR), 2024
    Under Review

  • Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
    Harit Vishwakarma, Reid (Yi) Chen, Sui Jiet Tay, Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak
    Neural Information Processing Systems (NeurIPS), 2024
    ICML 2024 Workshop on Data-centric Machine Learning (DMLR), 2024
    OpenReview | Arxiv | Github Code | Slides | Project Website

  • Pretrained Hybrids with MAD Skills
    Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi GNVV, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala.
    ICML 2024 Long-Context Foundation Models (LCFM) Workshop.
    ICML 2024 Next Generation of Sequence Modeling Architectures (NGSM) Workshop.
    ICML 2024 Efficient Systems for Foundation Models (ES-FoMo) Workshop.
    ICML 2024 Workshop on Foundation Models in the Wild.
    Arxiv

  • Tabby: Tabular Adaptation for Language Models
    Sonia Cromp, Satya Sai Srinath Namburi GNVV, Catherine Cao, Mohammed Alkhudhayri, Samuel Guo, Nicholas Roberts, Frederic Sala
    NeurIPS 2024 Workshop on Table Representation Learning (TRL)
    Under Review

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

  • 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
    Empirical Methods in Natural Language Processing (EMNLP Findings), 2023
    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
    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
    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
    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
    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)
    2025

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

  • ARR for Association for Computational Linguistics (ACL)
    Jan 2025, June 2024, December 2023

  • Computer Vision and Pattern Recognition (CVPR)
    2025