Vivek Sivaraman Narayanaswamy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | The Surprising Utility of Group Partitioning in Improving Conformal Prediction of Visual Classifiers under Distributional Shifts. | Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan |
| 2025 | ICASSP | Leveraging Registers in Vision Transformers for Robust Adaptation. | Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam A. Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan |
| 2024 | ECCV | DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. | Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan |
| 2024 | ICASSP | The Double-Edged Sword Of Ai Safety: Balancing Anomaly Detection and OOD Generalization Via Model Anchoring. | Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Jayaraman J. Thiagarajan |
| 2024 | ICML | PAGER: Accurate Failure Characterization in Deep Regression Models. | Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh |
| 2023 | ICASSP | Signal Analysis-Synthesis Using the Quantum Fourier Transform. | Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias |
| 2023 | ICIP | AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. | Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor |
| 2022 | ICASSP | Predicting the Generalization Gap in Deep Models using Anchoring. | Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Irene Kim, Yamen Mubarka, Andreas Spanias, Jayaraman J. Thiagarajan |
| 2022 | ICML | Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. | Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan |
| 2021 | AAAI | Accurate and Robust Feature Importance Estimation under Distribution Shifts. | Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias |
| 2021 | ACSSC | COVID-19 Detection using Audio Spectral Features and Machine Learning. | Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias |
| 2021 | FIE | Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period. | Vivek Sivaraman Narayanaswamy, Photini Spanias, Sunil Rao, Andreas Spanias |
| 2021 | ICASSP | Using Deep Image Priors to Generate Counterfactual Explanations. | Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2021 | Interspeech | On the Design of Deep Priors for Unsupervised Audio Restoration. | Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2020 | Interspeech | Unsupervised Audio Source Separation Using Generative Priors. | Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias |
| 2019 | ICASSP | Designing an Effective Metric Learning Pipeline for Speaker Diarization. | Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias |
| 2019 | ICASSP | Introducing Machine Learning in Undergraduate DSP Classes. | Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias |