Satya Sai Srinath Namburi

According to our database, Satya Sai Srinath Namburi authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay.

Subba Reddy Oota, Anant Khandelwal, Khushbu Pahwa, Satya Sai Srinath Namburi, Tanmoy Chakraborty, Bapi Surampudi Raju, Manish Gupta

CoRR, May, 2026

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation.

Jitian Zhao, Changho Shin, Tzu-Heng Huang, Satya Sai Srinath Namburi GNVV, Frederic Sala

CoRR, March, 2026

Linguistic properties and model scale in brain encoding: from small to compressed language models.

Subba Reddy Oota, Vijay Rowtula, Satya Sai Srinath Namburi, Khushbu Pahwa, Anant Khandelwal, Manish Gupta, Tanmoy Chakraborty, Bapi Surampudi Raju

CoRR, February, 2026

Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis.

Sonia Cromp, Satya Sai Srinath Namburi GNVV, Mohammed Alkhudhayri, Catherine Cao, Samuel Guo, Nicholas Carl Roberts, Frederic Sala

Trans. Mach. Learn. Res., 2026

2025

Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain.

Subba Reddy Oota, Khushbu Pahwa, Prachi Jindal, Satya Sai Srinath Namburi, Maneesh Kumar Singh, Tanmoy Chakraborty, Raju S. Bapi, Manish Gupta

CoRR, June, 2025

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 Kumar Singh, Raju Surampudi Bapi, Manish Gupta

CoRR, May, 2025

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training.

Albert Ge, Tzu-Heng Huang, John Cooper, Avi Trost, Ziyi Chu, Satya Sai Srinath Namburi GNVV, Ziyang Cai, Kendall Park, Nicholas Carl Roberts, Frederic Sala

CoRR, May, 2025

Tabby: Tabular Data Synthesis with Language Models.

Sonia Cromp, Satya Sai Srinath Namburi GNVV, Mohammed Alkhudhayri, Catherine Cao, Samuel Guo, Nicholas Carl Roberts, Frederic Sala

CoRR, March, 2025

Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL.

Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi GNVV, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LETS Forecast: Learning Embedology for Time Series Forecasting.

Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Nada Magdi Elkordi, Yin Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain).

Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi GNVV, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

RICA2: Rubric-Informed, Calibrated Assessment of Actions.

Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li

CoRR, 2024

Pretrained Hybrids with MAD Skills.

Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala

CoRR, 2024

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling.

Harit Vishwakarma, Reid Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

CoRR, 2024

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling.

Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

RICA²: Rubric-Informed, Calibrated Assessment of Actions.

Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2019

Stereo Vision Based Speed Estimation for Autonomous Driving.

Umamaheswaran S, Malavika Nair M, Athul Zac Joseph, Satya Sai Srinath Namburi GNVV, Ch. Lakshmi Priyanka, Praveen Sankaran

Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019