Rushil Anirudh

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

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring the Utility of Clip Priors for Visual Relationship Prediction.

[BibT_eX]

[DOI]

Rakshith Subramanyam

T. S. Jayram

Proceedings of the IEEE International Conference on Acoustics, 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

'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning.

[BibT_eX]

[DOI]

Joshua Feinglass

T. S. Jayram

Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data.

[BibT_eX]

[DOI]

Matthew L. Olson

Bogdan Kustowski

Weng-Keen Wong

CoRR, 2023

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

[BibT_eX]

[DOI]

Puja Trivedi

CoRR, 2023

CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction.

[BibT_eX]

[DOI]

Rakshith Subramanyam

T. S. Jayram

CoRR, 2023

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Access, 2023

Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification.

[BibT_eX]

[DOI]

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

Improving Diversity with Adversarially Learned Transformations for Domain Generalization.

[BibT_eX]

[DOI]

Tejas Gokhale

Chitta Baral

Yezhou Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

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

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction.

[BibT_eX]

[DOI]

Jiaming Liu

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

Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models.

[BibT_eX]

[DOI]

Matthew L. Olson

Weng-Keen Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Suppressing simulation bias in multi-modal data using transfer learning.

[BibT_eX]

[DOI]

Michael K. G. Kruse

Ryan Nora

Mach. Learn. Sci. Technol., 2022

A biology-informed similarity metric for simulated patches of human cell membrane.

[BibT_eX]

[DOI]

Harsh Bhatia

Mach. Learn. Sci. Technol., 2022

Enabling machine learning-ready HPC ensembles with Merlin.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

On-the-fly Object Detection using StyleGAN with CLIP Guidance.

[BibT_eX]

[DOI]

Yuzhe Lu

Wesam Sakla

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Single Model Uncertainty Estimation via Stochastic Data Centering.

[BibT_eX]

[DOI]

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

Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Predicting the Generalization Gap in Deep Models using Anchoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Sparsity Improves Unsupervised Attribute Discovery in Stylegan.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Intracardiac Electrical Imaging Using the 12-Lead ECG: A Machine Learning Approach Using Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2022

Out of Distribution Detection via Neural Network Anchoring.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

2021

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2021

MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion.

[BibT_eX]

[DOI]

Ankita Shukla

Eugene Kur

CoRR, 2021

Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization.

[BibT_eX]

[DOI]

CoRR, 2021

Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data.

[BibT_eX]

[DOI]

CoRR, 2021

Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization.

[BibT_eX]

[DOI]

Suhas Lohit

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Generative Patch Priors for Practical Compressive Image Recovery.

[BibT_eX]

[DOI]

Suhas Lohit

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Accurate and Robust Feature Importance Estimation under Distribution Shifts.

[BibT_eX]

[DOI]

Andreas Spanias

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

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations.

[BibT_eX]

[DOI]

Tejas Gokhale

Chitta Baral

Yezhou Yang

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

2020

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

Improved surrogates in inertial confinement fusion with manifold and cycle consistencies.

[BibT_eX]

[DOI]

Brian K. Spears

Proc. Natl. Acad. Sci. USA, 2020

Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2020

MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations.

[BibT_eX]

[DOI]

CoRR, 2020

Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models.

[BibT_eX]

[DOI]

CoRR, 2020

The Case of Performance Variability on Dragonfly-based Systems.

[BibT_eX]

[DOI]

Abhinav Bhatele

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Unsupervised Audio Source Separation Using Generative Priors.

[BibT_eX]

[DOI]

Andreas Spanias

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

Rate-Invariant Autoencoding of Time-Series.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.

[BibT_eX]

[DOI]

CoRR, 2019

Extreme Few-view CT Reconstruction using Deep Inference.

[BibT_eX]

[DOI]

CoRR, 2019

Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion.

[BibT_eX]

[DOI]

Brian K. Spears

CoRR, 2019

Improving Limited Angle CT Reconstruction with a Robust GAN Prior.

[BibT_eX]

[DOI]

Hyojin Kim

K. Aditya Mohan

Kyle Champley

CoRR, 2019

Function Preserving Projection for Scalable Exploration of High-Dimensional Data.

[BibT_eX]

[DOI]

CoRR, 2019

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2019

Multiple Subspace Alignment Improves Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Understanding Deep Neural Networks through Input Uncertainties.

[BibT_eX]

[DOI]

Irene Kim

Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

MR-GAN: Manifold Regularized Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Dimension Selection using a Blue Noise Spectrum.

[BibT_eX]

[DOI]

CoRR, 2018

An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

PADDLE: Performance Analysis Using a Data-Driven Learning Environment.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Bootstrapping Parameter Space Exploration for Fast Tuning.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Supercomputing, 2018

Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion.

[BibT_eX]

[DOI]

Hyojin Kim

K. Aditya Mohan

Kyle Champley

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Elastic Functional Coding of Riemannian Trajectories.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Influential Sample Selection: A Graph Signal Processing Approach.

[BibT_eX]

[DOI]

CoRR, 2017

Performance modeling under resource constraints using deep transfer learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2017

Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision.

[BibT_eX]

[DOI]

Anuj Srivastava

Proceedings of the Handbook of Convex Optimization Methods in Imaging Science., 2017

2016

Statistical and Dynamical Modeling of Riemannian Trajectories with Application to Human Movement Analysis.

[BibT_eX]

[DOI]

PhD thesis, 2016

Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2016

Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data.

[BibT_eX]

[DOI]

Hyojin Kim

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Diversity promoting online sampling for streaming video summarization.

[BibT_eX]

[DOI]

Ahnaf Masroor

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Riemannian Geometric Approaches for Measuring Movement Quality.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy

Vinay Venkataraman

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Towards realtime measurement of connectedness in human movement.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Movement and Computing, 2015

Geometric Compression of Orientation Signals for Fast Gesture Analysis.

[BibT_eX]

[DOI]

Aswin Sivakumar

Proceedings of the 2015 Data Compression Conference, 2015

Elastic functional coding of human actions: From vector-fields to latent variables.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds: Applications to Activity Analysis.

[BibT_eX]

[DOI]

CoRR, 2014

Interactively test driving an object detector: Estimating performance on unlabeled data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013

A heterogeneous dictionary model for representation and recognition of human actions.

[BibT_eX]

[DOI]

Karthikeyan Natesan Ramamurthy