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

• Harit Vishwakarma

• Nicholas Roberts

• Abrar Majeedi

• Sonia Cromp

• Albert Ge

• Jitian Zhao

• Dyah Adila

• Subba Reddy Oota

• Siddharth Ramavajjala

• Ramakrishna Raju

• Makesh Narsimhan Sreedhar

• Viswanatha Reddy

• Shruthi CM

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

Publications

• 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

• R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
  ICML 2025 Workshop on DataWorld: Unifying Data Curation Frameworks Across Domains
  ICML 2025 Workshop on Data in Generative Models - The Bad, the Ugly, and the Greats
  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
  International Conference on Machine Learning (ICML), 2025
  Arxiv | Project Page | Github Code

• PabLO: Improving Semi-Supervised Learning with Pseudolabeling Optimization
  Harit Vishwakarma, Reid (Yi) Chen, Srinath Namburi, Sui Jiet Tay, Ramya K. Vinayak, Frederic Sala
  International Conference on Machine Learning (ICML), 2025
  NeurIPS 2024 Workshop on Self-Supervised Learning - Theory and Practice, 2024
  ICML 2024 Workshop on Data-centric Machine Learning (DMLR)
  

• 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 | Arxiv

• 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)
  ICML 2025 Workshop on DataWorld: Unifying Data Curation Frameworks Across Domains
  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
  Arxiv | Blog | Github Code

• 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)
  May 2025, Jan 2025, June 2024, December 2023

• Computer Vision and Pattern Recognition (CVPR)
  2025

Workshops

• 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.