Vivek Sivaraman Narayanaswamy

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Source Separation

Speaker Diarization

Spectral Features

Top Venues

Publications

Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Jayaraman J. Thiagarajan
The Double-Edged Sword Of Ai Safety: Balancing Anomaly Detection and OOD Generalization Via Model Anchoring. ICASSP (2024)
Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan
On the Use of Anchoring for Training Vision Models. CoRR (2024)
Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Jayaraman J. Thiagarajan
Exploring Inlier and Outlier Specification for Improved Medical OOD Detection. ICCV (Workshops) (2023)
Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. MIDL (2023)
Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias
Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks. IEEE Access 11 (2023)
Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images. CoRR (2023)
Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor
AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. ICIP (2023)
Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias
Signal Analysis-Synthesis Using the Quantum Fourier Transform. ICASSP (2023)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh
PAGER: A Framework for Failure Analysis of Deep Regression Models. CoRR (2023)
Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias
Quantum Machine Learning for Photovoltaic Topology Optimization. IISA (2022)
Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan
Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection. CoRR (2022)
Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Peer-Timo Bremer
Single Model Uncertainty Estimation via Stochastic Data Centering. CoRR (2022)
Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Irene Kim, Yamen Mubarka, Andreas Spanias, Jayaraman J. Thiagarajan
Predicting the Generalization Gap in Deep Models using Anchoring. ICASSP (2022)
Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Greg Raupp, Nadia Kellam, Megan O'Donnell, Wendy Barnard, Jean S. Larson, Noel E. O'Connor, Nicholas Dunne, Stephen Daniels, Suzanne Little
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA (2022)
Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Ramamurthy, Andreas Spanias, Mahesh K. Banavar, Abhinav Dixit, Jie Fan, Mohit Malu, Kristen Jaskie, Sunil Rao, Uday Shankar Shanthamallu, Vivek Sivaraman Narayanaswamy, Sameeksha Katoch
Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors. Int. J. Virtual Pers. Learn. Environ. 12 (1) (2022)
Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer
Single Model Uncertainty Estimation via Stochastic Data Centering. NeurIPS (2022)
Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML (2022)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
On the Design of Deep Priors for Unsupervised Audio Restoration. Interspeech (2021)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias
Loss Estimators Improve Model Generalization. CoRR (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
On the Design of Deep Priors for Unsupervised Audio Restoration. CoRR (2021)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias
Designing Counterfactual Generators using Deep Model Inversion. NeurIPS (2021)
Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias
Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection. IISA (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
Using Deep Image Priors to Generate Counterfactual Explanations. ICASSP (2021)
Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias
COVID-19 Detection using Audio Spectral Features and Machine Learning. ACSCC (2021)
Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias
COVID-19 detection using cough sound analysis and deep learning algorithms. Intell. Decis. Technol. 15 (4) (2021)
Vivek Sivaraman Narayanaswamy, Photini Spanias, Sunil Rao, Andreas Spanias
Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period. FIE (2021)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias
Designing Counterfactual Generators using Deep Model Inversion. CoRR (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
Using Deep Image Priors to Generate Counterfactual Explanations. CoRR (2020)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias
Unsupervised Audio Source Separation using Generative Priors. CoRR (2020)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias
Unsupervised Audio Source Separation Using Generative Priors. INTERSPEECH (2020)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR (2020)
Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan
Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. ICPS (2019)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Designing an Effective Metric Learning Pipeline for Speaker Diarization. ICASSP (2019)
Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets. CoRR (2019)
Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias
Introducing Machine Learning in Undergraduate DSP Classes. ICASSP (2019)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Designing an Effective Metric Learning Pipeline for Speaker Diarization. CoRR (2018)