default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVivek Sivaraman Narayanaswamy
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c23]Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan:
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. ECCV (79) 2024: 465-482- [c22]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: 7235-7239 - [c21]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh:
PAGER: Accurate Failure Characterization in Deep Regression Models. ICML 2024 - [i14]Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan:
On the Use of Anchoring for Training Vision Models. CoRR abs/2406.00529 (2024) - [i13]Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan:
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. CoRR abs/2408.00331 (2024) - 2023
- [j3]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: 7461-7470 (2023) - [c20]Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias:
Signal Analysis-Synthesis Using the Quantum Fourier Transform. ICASSP 2023: 1-5 - [c19]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: 4591-4600 - [c18]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: 1895-1899 - [c17]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: 190-211 - [i12]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 abs/2308.00491 (2023) - [i11]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh:
PAGER: A Framework for Failure Analysis of Deep Regression Models. CoRR abs/2309.10977 (2023) - 2022
- [j2]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): 1-17 (2022) - [c16]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: 4393-4397 - [c15]Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan:
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML 2022: 20625-20639 - [c14]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:
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA 2022: 1-6 - [c13]Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias:
Quantum Machine Learning for Photovoltaic Topology Optimization. IISA 2022: 1-5 - [c12]Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer:
Single Model Uncertainty Estimation via Stochastic Data Centering. NeurIPS 2022 - [i10]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 abs/2207.05286 (2022) - [i9]Jayaraman J. Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Peer-Timo Bremer:
Single Model Uncertainty Estimation via Stochastic Data Centering. CoRR abs/2207.07235 (2022) - 2021
- [j1]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): 655-665 (2021) - [c11]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI 2021: 7891-7898 - [c10]Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias:
COVID-19 Detection using Audio Spectral Features and Machine Learning. ACSCC 2021: 1146-1150 - [c9]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: 1-4 - [c8]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. ICASSP 2021: 2770-2774 - [c7]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: 1-5 - [c6]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. Interspeech 2021: 2167-2171 - [c5]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. NeurIPS 2021: 16873-16884 - [i8]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias:
Loss Estimators Improve Model Generalization. CoRR abs/2103.03788 (2021) - [i7]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. CoRR abs/2104.07161 (2021) - [i6]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. CoRR abs/2109.14274 (2021) - 2020
- [b1]Sunil Rao, Sameeksha Katoch, Vivek Sivaraman Narayanaswamy, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Pavan K. Turaga, Raja Ayyanar, Devarajan Srinivasan:
Machine Learning for Solar Array Monitoring, Optimization, and Control. Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01377-5 - [c4]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation Using Generative Priors. INTERSPEECH 2020: 2657-2661 - [i5]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation using Generative Priors. CoRR abs/2005.13769 (2020) - [i4]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR abs/2009.14454 (2020) - [i3]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. CoRR abs/2010.12046 (2020)
2010 – 2019
- 2019
- [c3]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. ICASSP 2019: 5806-5810 - [c2]Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias:
Introducing Machine Learning in Undergraduate DSP Classes. ICASSP 2019: 7655-7659 - [c1]Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan:
Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. ICPS 2019: 167-172 - [i2]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 abs/1904.04161 (2019) - 2018
- [i1]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. CoRR abs/1811.00183 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 22:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
