| Lung Nodule Detection using 3D Convolutional Neural Networks Trained on Weakly Labeled Data R Anirudh, JJ Thiagarajan, T Bremer, H Kim SPIE - Medical Imaging, 2016 | 119 | 2016 |
| Elastic functional coding of human actions: From vector-fields to latent variables R Anirudh, P Turaga, J Su, A Srivastava Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 115 | 2015 |
| 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 | 96 | 2019 |
| Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion R Anirudh, H Kim, JJ Thiagarajan, KA Mohan, K Champley, T Bremer IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 81 | 2018 |
| Elastic functional coding of Riemannian trajectories R Anirudh, P Turaga, J Su, A Srivastava IEEE transactions on pattern analysis and machine intelligence 39 (5), 922-936, 2016 | 57 | 2016 |
| 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 | 50 | 2017 |
| MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking R Anirudh, JJ Thiagarajan, B Kailkhura, T Bremer International Journal of Computer Vision (IJCV), 2020 | 38 | 2020 |
| A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams R Anirudh, V Venkataraman, KN Ramamurthy, P Turaga CVPR Workshops, 2016 | 35 | 2016 |
| 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 (PNAS), 2020 | 31 | 2020 |
| An unsupervised approach to solving inverse problems using generative adversarial networks R Anirudh, JJ Thiagarajan, B Kailkhura, T Bremer arXiv preprint arXiv:1805.07281, 2018 | 31 | 2018 |
| The Case of Performance Variability on Dragonfly-based Systems A Bhatele, JJ Thiagarajan, T Groves, R Anirudh, SA Smith, B Cook, ... IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020 | 25 | 2020 |
| Transfer learning as a tool for reducing simulation bias: application to inertial confinement fusion B Kustowski, JA Gaffney, BK Spears, GJ Anderson, JJ Thiagarajan, ... IEEE Transactions on Plasma Science 48 (1), 46-53, 2019 | 23 | 2019 |
| Influential sample selection: A graph signal processing approach R Anirudh, P Bremer, R Sridhar, JJ Thiagarajan Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2017 | 23 | 2017 |
| Attribute-Guided Adversarial Training for Robustness to Natural Perturbations T Gokhale, R Anirudh, B Kailkhura, JJ Thiagarajan, C Baral, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No …, 2021 | 20 | 2021 |
| Unsupervised Audio Source Separation using Generative Priors V Narayanaswamy, JJ Thiagarajan, R Anirudh, A Spanias International Speech Communication Association (Interspeech), 2020 | 20 | 2020 |
| Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields AW Reed, H Kim, R Anirudh, KA Mohan, K Champley, J Kang, ... International Conference on Computer Vision (ICCV), 2021 | 19 | 2021 |
| Parallelizing Training of Deep Generative Models on Massive Scientific Datasets SA Jacobs, B Van Essen, D Hysom, JS Yeom, T Moon, R Anirudh, ... IEEE Cluster Conference 2019, 2019 | 19 | 2019 |
| Merlin: enabling machine learning-ready HPC ensembles JL Peterson, K Athey, PT Bremer, V Castillo, F Di Natale, JE Field, D Fox, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019 | 19 | 2019 |
| Bootstrapping parameter space exploration for fast tuning JJ Thiagarajan, N Jain, R Anirudh, A Gimenez, R Sridhar, A Marathe, ... Proceedings of the 2018 international conference on supercomputing, 385-395, 2018 | 17 | 2018 |
| Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models JJ Thiagarajan, B Venkatesh, R Anirudh, PT Bremer, J Gaffney, ... Nature communications, 2020 | 15 | 2020 |
Jayaraman J. ThiagarajanMachine Learning Researcher, Lawrence Livermore National LabsVerified email at asu.edu
