Rushil Anirudh
Cited by
Cited by
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
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 Riemannian trajectories
R Anirudh, P Turaga, J Su, A Srivastava
IEEE transactions on pattern analysis and machine intelligence 39 (5), 922-936, 2016
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
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
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
R Anirudh*, JJ Thiagarajan*, R Sridhar, PT Bremer
Frontiers in Big Data, 2021
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams
R Anirudh, V Venkataraman, KN Ramamurthy, P Turaga
CVPR Workshops, 2016
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
R Anirudh, JJ Thiagarajan, B Kailkhura, T Bremer
International Journal of Computer Vision (IJCV), 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
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
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
Geometry-based symbolic approximation for fast sequence matching on manifolds
R Anirudh, P Turaga
International Journal of Computer Vision 116 (2), 161-173, 2016
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
Diversity promoting online sampling for streaming video summarization
R Anirudh, A Masroor, P Turaga
2016 IEEE International Conference on Image Processing (ICIP), 3329-3333, 2016
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
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, R Anirudh, K Athey, B Bay, PT Bremer, V Castillo, ...
arXiv preprint arXiv:1912.02892, 2019
Multiple subspace alignment improves domain adaptation
K Thopalli, R Anirudh, JJ Thiagarajan, P Turaga
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Understanding deep neural networks through input uncertainties
JJ Thiagarajan, I Kim, R Anirudh, PT Bremer
ICASSP 2019-2019 ieee international conference on acoustics, speech and …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20