Publications

2024

1. Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection

   Rishi Singhal and Srinath Srinivasan

   arXiv preprint arXiv:2403.01076, 2024

2023

1. Equivalent source method based Near-field acoustic holography using machine learning

   SK Chaitanya, Siddharth Sriraman, Srinath Srinivasan, and 1 more author

   In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2023
2. Machine learning aided near-field acoustic holography based on equivalent source method

   SK Chaitanya, Siddharth Sriraman, Srinath Srinivasan, and 1 more author

   The Journal of the Acoustical Society of America, 2023

2022

1. Exploring Bayesian Uncertainty Modeling for Book Genre Classification

   Srinath Srinivasan, SG Shivanirudh, Sujay Sathya, and 1 more author

   In 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2022
2. Data-driven neural networks for source localization and reconstruction using a planar array

   Sai Manikanta Kaja, Srinath Srinivasan, SK Chaitanya, and 1 more author

   International Journal of Aeroacoustics, 2022

2019

1. MediaEval 2019: LRCNs for Stroke Detection in Table Tennis.

   Siddharth Sriraman, Srinath Srinivasan, Vishnu K Krishnan, and 2 more authors

   In MediaEval, 2019