Jayaraman J. Thiagarajan
Jayaraman J. Thiagarajan
Machine Learning Researcher, Lawrence Livermore National Labs
Verified email at - Homepage
Cited by
Cited by
Attend and diagnose: Clinical time series analysis using attention models
H Song, D Rajan, J Thiagarajan, A Spanias
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Sparse representations for automatic target classification in SAR images
JJ Thiagarajan, KN Ramamurthy, P Knee, A Spanias, V Berisha
2010 4th international symposium on communications, control and signal …, 2010
Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data
R Anirudh, JJ Thiagarajan, T Bremer, H Kim
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 791-796, 2016
Visual exploration of semantic relationships in neural word embeddings
S Liu, PT Bremer, JJ Thiagarajan, V Srikumar, B Wang, Y Livnat, ...
IEEE transactions on visualization and computer graphics 24 (1), 553-562, 2017
Bootstrapping graph convolutional neural networks for autism spectrum disorder classification
R Anirudh, JJ Thiagarajan
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Lose the views: Limited angle CT reconstruction via implicit sinogram completion
R Anirudh, H Kim, JJ Thiagarajan, KA Mohan, K Champley, T Bremer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Multiple kernel sparse representations for supervised and unsupervised learning
JJ Thiagarajan, KN Ramamurthy, A Spanias
IEEE transactions on Image Processing 23 (7), 2905-2915, 2014
Mixing matrix estimation using discriminative clustering for blind source separation
JJ Thiagarajan, KN Ramamurthy, A Spanias
Digital Signal Processing 23 (1), 9-18, 2013
Deep learning: A guide for practitioners in the physical sciences
BK Spears, J Brase, PT Bremer, B Chen, J Field, J Gaffney, M Kruse, ...
Physics of Plasmas 25 (8), 2018
Treeview: Peeking into deep neural networks via feature-space partitioning
JJ Thiagarajan, B Kailkhura, P Sattigeri, KN Ramamurthy
arXiv preprint arXiv:1611.07429, 2016
Identifying the culprits behind network congestion
A Bhatele, AR Titus, JJ Thiagarajan, N Jain, T Gamblin, PT Bremer, ...
2015 IEEE International Parallel and Distributed Processing Symposium, 113-122, 2015
Optimizing kernel machines using deep learning
H Song, JJ Thiagarajan, P Sattigeri, A Spanias
IEEE transactions on neural networks and learning systems 29 (11), 5528-5540, 2018
Performance modeling under resource constraints using deep transfer learning
A Marathe, R Anirudh, N Jain, A Bhatele, J Thiagarajan, B Kailkhura, ...
Proceedings of the International Conference for High Performance Computing …, 2017
Kernel sparse models for automated tumor segmentation
JJ Thiagarajan, K Ramamurthy, A Spanias, D Frakes
US Patent 9,710,916, 2017
Visual Exploration of High‐Dimensional Data through Subspace Analysis and Dynamic Projections
S Liu, B Wang, JJ Thiagarajan, PT Bremer, V Pascucci
Computer Graphics Forum 34 (3), 271-280, 2015
Mimicgan: Robust projection onto image manifolds with corruption mimicking
R Anirudh, JJ Thiagarajan, B Kailkhura, PT Bremer
International Journal of Computer Vision 128, 2459-2477, 2020
Multilevel dictionary learning for sparse representation of images
JJ Thiagarajan, KN Ramamurthy, A Spanias
2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011
Improved surrogates in inertial confinement fusion with manifold and cycle consistencies
R Anirudh, JJ Thiagarajan, PT Bremer, BK Spears
Proceedings of the National Academy of Sciences 117 (18), 9741-9746, 2020
Ensemble sparse models for image analysis and restoration
K Ramamurthy, J Thiagarajan, P Sattigeri, A Spanias
US Patent 9,875,428, 2018
A generative modeling approach to limited channel ECG classification
D Rajan, JJ Thiagarajan
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
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