Rushil Anirudh

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Jayaraman J. ThiagarajanMachine Learning ResearcherDirección de correo verificada de asu.edu
Peer-Timo BremerLawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Pavan TuragaGeometric Media Lab, Arizona State UniversityDirección de correo verificada de asu.edu
Brian SpearsPhysicist, Lawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Hyojin KimLawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Vivek Sivaraman NarayanaswamyPost-Doctoral AI Research Scientist, Lawrence Livermore National LabsDirección de correo verificada de asu.edu
K. Aditya MohanComputational Engineering Division, Lawrence Livermore National LabDirección de correo verificada de llnl.gov
Kyle ChampleyLawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Bogdan KustowskiSimulation Data Scientist, LLNLDirección de correo verificada de llnl.gov
刘树森 Shusen LiuResearch Scientist, Lawrence Livermore National LaboratoryDirección de correo verificada de sci.utah.edu
Abhinav BhateleAssociate Professor of Computer Science, University of Maryland, College ParkDirección de correo verificada de cs.umd.edu
Brian Van EssenLawrence Livermore National LaboratoryDirección de correo verificada de llnl.gov
Anuj SrivastavaProfessor of Statistics, Florida State UniversityDirección de correo verificada de stat.fsu.edu
Nikhil JainNvidiaDirección de correo verificada de nvidia.com
Andreas SpaniasArizona State UniversityDirección de correo verificada de asu.edu
Suhas LohitPrincipal Research Scientist, Mitsubishi Electric Research LaboratoriesDirección de correo verificada de merl.com
Kowshik ThopalliPh.D. Student, Arizona State UniversityDirección de correo verificada de asu.edu
Yezhou (YZ) YangSchool of Computing and AI, Arizona State UniversityDirección de correo verificada de asu.edu
Jingyong SuProfessor, Harbin Institute of Technology at Shenzhen, ChinaDirección de correo verificada de hit.edu.cn

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Rushil Anirudh

Amazon

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machine learning computer vision generative models


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	155	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	129	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	129	2018
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	121	2015
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	69	2017
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	68	2016
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	67	2021
DOLCE: A model-based probabilistic diffusion framework for limited-angle ct reconstruction J Liu, R Anirudh, JJ Thiagarajan, S He, KA Mohan, US Kamilov, H Kim ICCV, 2023	55	2023
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking R Anirudh, JJ Thiagarajan, B Kailkhura, T Bremer International Journal of Computer Vision (IJCV), 2020	53	2020
2022 review of data-driven plasma science R Anirudh, R Archibald, MS Asif, MM Becker, S Benkadda, PT Bremer, ... IEEE Transactions on Plasma Science, 2023	49	2023
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	47	2020
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams R Anirudh, V Venkataraman, KN Ramamurthy, P Turaga CVPR Workshops, 2016	42	2016
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	40	2021
Enabling machine learning-ready HPC ensembles with merlin JL Peterson, B Bay, J Koning, P Robinson, J Semler, J White, R Anirudh, ... Future Generation Computer Systems 131, 255-268, 2022	39	2022
Accelerating the rate of discovery: toward high-repetition-rate HED science T Ma, D Mariscal, R Anirudh, T Bremer, BZ Djordjevic, T Galvin, E Grace, ... Plasma Physics and Controlled Fusion 63 (10), 104003, 2021	39	2021
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	39	2019
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	39	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	35	2020
Improving Diversity with Adversarially Learned Transformations for Domain Generalization T Gokhale, R Anirudh, JJ Thiagarajan, B Kailkhura, C Baral, Y Yang Winter Conference on Applications of Computer Vision (WACV), 2023	33	2023
Single Model Uncertainty Estimation via Stochastic Data Centering JJ Thiagarajan, R Anirudh, V Narayanaswamy, PT Bremer Advances in Neural Information Processing Systems (NeurIPS), 2022	30	2022

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