Rushil Anirudh
Rushil Anirudh
ML Scientist, LLNL
Verified email at - Homepage
Cited by
Cited by
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
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
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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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
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
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
R Anirudh, JJ Thiagarajan, B Kailkhura, T Bremer
International Journal of Computer Vision (IJCV), 2020
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams
R Anirudh, V Venkataraman, KN Ramamurthy, P Turaga
CVPR Workshops, 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
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
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
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
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
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
Unsupervised Audio Source Separation using Generative Priors
V Narayanaswamy, JJ Thiagarajan, R Anirudh, A Spanias
International Speech Communication Association (Interspeech), 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
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
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
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
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
JJ Thiagarajan, B Venkatesh, R Anirudh, PT Bremer, J Gaffney, ...
Nature communications, 2020
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