Vivek Sivaraman Narayanaswamy

According to our database, Vivek Sivaraman Narayanaswamy authored at least 29 papers between 2019 and 2023.

Collaborative distances:

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

2023

PAGER: A Framework for Failure Analysis of Deep Regression Models.

Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh

CoRR, 2023

Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks.

Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias

IEEE Access, 2023

Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors.

Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan

Proceedings of the Medical Imaging with Deep Learning, 2023

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

Proceedings of the IEEE International Conference on Image Processing, 2023

Exploring Inlier and Outlier Specification for Improved Medical OOD Detection.

Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Jayaraman J. Thiagarajan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Signal Analysis-Synthesis Using the Quantum Fourier Transform.

Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors.

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

Int. J. Virtual Pers. Learn. Environ., 2022

Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection.

Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan

CoRR, 2022

Single Model Uncertainty Estimation via Stochastic Data Centering.

Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantum Machine Learning for Photovoltaic Topology Optimization.

Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias

Proceedings of the 13th International Conference on Information, 2022

The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning.

Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Gregory B. Raupp, Nadia N. Kellam, Megan O'Donnell, Wendy Barnard, Jean S. Larson, Noel E. O'Connor, Nicholas Dunne, Stephen Daniels, Suzanne Little

Proceedings of the 13th International Conference on Information, 2022

Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images.

Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan

Proceedings of the International Conference on Machine Learning, 2022

Predicting the Generalization Gap in Deep Models using Anchoring.

Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Irene Kim, Yamen Mubarka, Andreas Spanias, Jayaraman J. Thiagarajan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

COVID-19 detection using cough sound analysis and deep learning algorithms.

Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias

Intell. Decis. Technol., 2021

Designing Counterfactual Generators using Deep Model Inversion.

Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias

CoRR, 2021

Loss Estimators Improve Model Generalization.

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias

CoRR, 2021

Designing Counterfactual Generators using Deep Model Inversion.

Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Design of Deep Priors for Unsupervised Audio Restoration.

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection.

Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias

Proceedings of the 12th International Conference on Information, 2021

Using Deep Image Priors to Generate Counterfactual Explanations.

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias

Proceedings of the IEEE International Conference on Acoustics, 2021

Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period.

Vivek Sivaraman Narayanaswamy, Photini Spanias, Sunil Rao, Andreas Spanias

Proceedings of the IEEE Frontiers in Education Conference, 2021

COVID-19 Detection using Audio Spectral Features and Machine Learning.

Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Accurate and Robust Feature Importance Estimation under Distribution Shifts.

Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Machine Learning for Solar Array Monitoring, Optimization, and Control

Sunil Rao, Sameeksha Katoch, Vivek Sivaraman Narayanaswamy, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Pavan K. Turaga, Raja Ayyanar, Devarajan Srinivasan

Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers, ISBN: 978-3-031-02505-1, 2020

Unsupervised Audio Source Separation Using Generative Priors.

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias

Proceedings of the Interspeech 2020, 2020

2019

Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets.

Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias

CoRR, 2019

Connection Topology Optimization in Photovoltaic Arrays using Neural Networks.

Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Introducing Machine Learning in Undergraduate DSP Classes.

Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias

Proceedings of the IEEE International Conference on Acoustics, 2019

Designing an Effective Metric Learning Pipeline for Speaker Diarization.

Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias

Proceedings of the IEEE International Conference on Acoustics, 2019