Vivek Sivaraman Narayanaswamy

CoRR, 2024

PAGER: Accurate Failure Characterization in Deep Regression Models.

[BibT_eX]

[DOI]

Puja Trivedi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Double-Edged Sword Of Ai Safety: Balancing Anomaly Detection and OOD Generalization Via Model Anchoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation.

[BibT_eX]

[DOI]

Rakshith Subramanyam

Kowshik Thopalli

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

[BibT_eX]

[DOI]

Puja Trivedi

CoRR, 2023

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

[BibT_eX]

[DOI]

Raja Ayyanar

Devarajan Srinivasan

IEEE Access, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Grace Billingsley

Julia Dietlmeier

Noel E. O'Connor

Proceedings of the IEEE International Conference on Image Processing, 2023

Exploring Inlier and Outlier Specification for Improved Medical OOD Detection.

[BibT_eX]

[DOI]

Yamen Mubarka

Deepta Rajan

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

Signal Analysis-Synthesis Using the Quantum Fourier Transform.

[BibT_eX]

[DOI]

Aradhita Sharma

Glen S. Uehara

Leslie Miller

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

[BibT_eX]

[DOI]

Prasanna Sattigeri

Uday Shankar Shanthamallu

Karthikeyan Ramamurthy

Sameeksha Katoch

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

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

[BibT_eX]

[DOI]

CoRR, 2022

Single Model Uncertainty Estimation via Stochastic Data Centering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Glen S. Uehara

Proceedings of the 13th International Conference on Information, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information, 2022

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

[BibT_eX]

[DOI]

Rakshith Subramanyam

Mark Naufel

Proceedings of the International Conference on Machine Learning, 2022

Predicting the Generalization Gap in Deep Models using Anchoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

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

[BibT_eX]

[DOI]

Michael Esposito

Intell. Decis. Technol., 2021

Designing Counterfactual Generators using Deep Model Inversion.

[BibT_eX]

[DOI]

CoRR, 2021

Loss Estimators Improve Model Generalization.

[BibT_eX]

[DOI]

Deepta Rajan

CoRR, 2021

Designing Counterfactual Generators using Deep Model Inversion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Michael Esposito

Proceedings of the 12th International Conference on Information, 2021

Using Deep Image Priors to Generate Counterfactual Explanations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

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

[BibT_eX]

[DOI]

Photini Spanias

Proceedings of the IEEE Frontiers in Education Conference, 2021

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

[BibT_eX]

[DOI]

Michael Esposito

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

Accurate and Robust Feature Importance Estimation under Distribution Shifts.

[BibT_eX]

[DOI]

Peer-Timo Bremer

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

2020

Machine Learning for Solar Array Monitoring, Optimization, and Control

[BibT_eX]

[DOI]

Sameeksha Katoch

Gowtham Muniraju

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

Unsupervised Audio Source Separation Using Generative Priors.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

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

[BibT_eX]

[DOI]

Sameeksha Katoch

Huan Song

CoRR, 2019

Connection Topology Optimization in Photovoltaic Arrays using Neural Networks.

[BibT_eX]

[DOI]

Raja Ayyanar

Uday Shankar Shanthamallu

Devarajan Srinivasan

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

Introducing Machine Learning in Undergraduate DSP Classes.

[BibT_eX]

[DOI]

Abhinav Dixit

Jie Fan

Proceedings of the IEEE International Conference on Acoustics, 2019

Designing an Effective Metric Learning Pipeline for Speaker Diarization.

[BibT_eX]

[DOI]

Huan Song