Rushil Anirudh

Generating author description...

All published works

Action	Title	Year	Authors
+	Multitask deep learning for the emulation and calibration of an agent-based malaria transmission model	2025	Agastya Mondal Rushil Anirudh Prashanth Selvaraj
+ PDF Chat	Physics-Informed Transformation Toward Improving the Machine-Learned NLTE Models of ICF Simulations	2024	Min Sang Cho Paul Grabowski Kowshik Thopalli T. S. Jayram Michael J. Barrow Jayaraman J. Thiagarajan Rushil Anirudh Hai Phuong Le H. A. Scott Joshua Kallman
+ PDF Chat	On the Use of Anchoring for Training Vision Models	2024	Vivek Narayanaswamy Kowshik Thopalli Rushil Anirudh Yamen Mubarka Wesam Sakla Jayaraman J. Thiagarajan
+	Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data	2024	Matthew Olson Shusen Liu Jayaraman J. Thiagarajan Bogdan Kustowski Weng‐Keen Wong Rushil Anirudh
+ PDF Chat	`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning	2024	Joshua Feinglass Jayaraman J. Thiagarajan Rushil Anirudh T. S. Jayram Yezhou Yang
+	Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks	2024	Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan
+ PDF Chat	DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction	2023	Jiaming Liu Rushil Anirudh Jayaraman J. Thiagarajan Stewart He Karthika Mohan Ulugbek S. Kamilov Hyo-Jin Kim
+ PDF Chat	2022 Review of Data-Driven Plasma Science	2023	Rushil Anirudh Richard Archibald M. Salman Asif Markus M. Becker S. Benkadda Peer‐Timo Bremer Rick H. S. Budé C. S. Chang L. Chen R.M. Churchill
+ PDF Chat	Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models	2023	Matthew Olson Shusen Liu Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer W. Eric Wong
+ PDF Chat	Improving Diversity with Adversarially Learned Transformations for Domain Generalization	2023	Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Chitta Baral Yezhou Yang
+	Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification	2023	Rakshith Subramanyam Mark Heimann T.S. Jayram Rushil Anirudh Jayaraman J. Thiagarajan
+	Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models	2023	Matthew Olson Shusen Liu Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer W. Eric Wong
+	CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction	2023	Rakshith Subramanyam T. S. Jayram Rushil Anirudh Jayaraman J. Thiagarajan
+	Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks	2023	Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan
+	PAGER: A Framework for Failure Analysis of Deep Regression Models	2023	Jayaraman J. Thiagarajan Vivek Narayanaswamy Puja Trivedi Rushil Anirudh
+	Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data	2023	Matthew Olson Shusen Liu Jayaraman J. Thiagarajan Bogdan Kustowski Weng‐Keen Wong Rushil Anirudh
+	Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection	2022	V Narayanaswamy Yamen Mubarka Rushil Anirudh D Rajan A Spanias Jayaraman J. Thiagarajan
+ PDF Chat	Enabling machine learning-ready HPC ensembles with Merlin	2022	J. L. Peterson Ben Bay J. M. Koning Peter Robinson Jessica Semler Jeremy White Rushil Anirudh Kevin Athey Peer‐Timo Bremer Francesco Di Natale
+	Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation	2022	Kowshik Thopalli Jayaraman J. Thiagarajan Rushil Anirudh Pavan Turaga
+	2022 Review of Data-Driven Plasma Science	2022	Rushil Anirudh Richard Archibald M. Salman Asif Markus M. Becker S. Benkadda Peer‐Timo Bremer Rick H. S. Budé C. S. Chang L. Chen R M Churchill
+	Improving Diversity with Adversarially Learned Transformations for Domain Generalization	2022	Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Chitta Baral Yezhou Yang
+	Out of Distribution Detection via Neural Network Anchoring	2022	Rushil Anirudh Jayaraman J. Thiagarajan
+	Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors	2022	Vivek Narayanaswamy Yamen Mubarka Rushil Anirudh Deepta Rajan Andreas Spanias Jayaraman J. Thiagarajan
+	Single Model Uncertainty Estimation via Stochastic Data Centering	2022	Jayaraman J. Thiagarajan Rushil Anirudh Vivek Narayanaswamy Peer‐Timo Bremer
+	Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification	2022	Rakshith Subramanyam Mark Heimann Jayram Thathachar Rushil Anirudh Jayaraman J. Thiagarajan
+	On-the-fly Object Detection using StyleGAN with CLIP Guidance	2022	Yuzhe Lu Shusen Liu Jayaraman J. Thiagarajan Wesam Sakla Rushil Anirudh
+	DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction	2022	Jiaming Liu Rushil Anirudh Jayaraman J. Thiagarajan Stewart He Karthika Mohan Ulugbek S. Kamilov Hyojin Kim
+	Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion	2021	Ankita Shukla Rushil Anirudh Eugene Kur Jayaraman J. Thiagarajan Peer‐Timo Bremer B. K. Spears T. Ma Pavan Turaga
+	Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization.	2021	Rushil Anirudh Jayaraman J. Thiagarajan
+	Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields	2021	Albert Reed Hyojin Kim Rushil Anirudh K. Aditya Mohan Kyle Champley Jingu Kang Suren Jayasuriya
+ PDF Chat	Accurate and Robust Feature Importance Estimation under Distribution Shifts	2021	Jayaraman J. Thiagarajan Vivek Narayanaswamy Rushil Anirudh Peer‐Timo Bremer Andreas Spanias
+ PDF Chat	Attribute-Guided Adversarial Training for Robustness to Natural Perturbations	2021	Tejas Gokhale Rushil Anirudh Bhavya Kailkhura Jayaraman J. Thiagarajan Chitta Baral Yezhou Yang
+	Accurate and Robust Feature Importance Estimation under Distribution Shifts.	2021	Jayaraman J. Thiagarajan Vivek Narayanaswamy Rushil Anirudh Peer‐Timo Bremer Andreas Spanias
+ PDF Chat	MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis	2021	Rushil Anirudh Jayaraman J. Thiagarajan Rahul Sridhar Peer‐Timo Bremer
+	Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields	2021	Albert Reed Hyojin Kim Rushil Anirudh K. Aditya Mohan Kyle Champley Jingu Kang Suren Jayasuriya
+	Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data.	2021	Bogdan Kustowski Jim Gaffney B. K. Spears Gemma J. Anderson Rushil Anirudh Peer‐Timo Bremer Jayaraman J. Thiagarajan
+	Generative Patch Priors for Practical Compressive Image Recovery	2021	Rushil Anirudh Suhas Lohit Pavan Turaga
+ PDF Chat	Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization	2021	Suhas Lohit Rushil Anirudh Pavan Turaga
+	Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion	2021	Ankita Shukla Rushil Anirudh Eugene Kur Jayaraman J. Thiagarajan Peer‐Timo Bremer B. K. Spears T. Ma Pavan Turaga
+	$Δ$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization	2021	Rushil Anirudh Jayaraman J. Thiagarajan
+	Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields	2021	Albert Reed Hyojin Kim Rushil Anirudh K. Aditya Mohan Kyle Champley Jingu Kang Suren Jayasuriya
+	Suppressing simulation bias using multi-modal data	2021	Bogdan Kustowski Jim Gaffney B. K. Spears Gemma J. Anderson Rushil Anirudh Peer‐Timo Bremer Jayaraman J. Thiagarajan Michael Kruse R. Nora
+	Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization	2020	Suhas Lohit Rushil Anirudh Pavan Turaga
+ PDF Chat	Designing accurate emulators for scientific processes using calibration-driven deep models	2020	Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh Peer‐Timo Bremer Jim Gaffney Gemma J. Anderson B. K. Spears
+	Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations.	2020	Gemma J. Anderson Jim Gaffney B. K. Spears Peer‐Timo Bremer Rushil Anirudh Jayaraman J. Thiagarajan
+ PDF Chat	Unsupervised Audio Source Separation Using Generative Priors	2020	Vivek Narayanaswamy Jayaraman J. Thiagarajan Rushil Anirudh Andreas Spanias
+	Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models.	2020	Jayaraman J. Thiagarajan Peer‐Timo Bremer Rushil Anirudh Timothy C. Germann Sara Y. Del Valle Frederick H. Streitz
+	Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates.	2020	Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer Timothy C. Germann Sara Y. Del Valle Frederick H. Streitz
+	Generative Patch Priors for Practical Compressive Image Recovery	2020	Rushil Anirudh Suhas Lohit Pavan Turaga
+	Unsupervised Audio Source Separation using Generative Priors	2020	Vivek Narayanaswamy Jayaraman J. Thiagarajan Rushil Anirudh Andreas Spanias
+ PDF Chat	Improved surrogates in inertial confinement fusion with manifold and cycle consistencies	2020	Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer B. K. Spears
+	MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking	2020	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	Attribute-Guided Adversarial Training for Robustness to Natural Perturbations	2020	Tejas Gokhale Rushil Anirudh Bhavya Kailkhura Jayaraman J. Thiagarajan Chitta Baral Yezhou Yang
+	Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization	2020	Suhas Lohit Rushil Anirudh Pavan Turaga
+	Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations	2020	Gemma J. Anderson Jim Gaffney B. K. Spears Peer‐Timo Bremer Rushil Anirudh Jayaraman J. Thiagarajan
+	Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models	2020	Jayaraman J. Thiagarajan Peer‐Timo Bremer Rushil Anirudh Timothy C. Germann Sara Y. Del Valle Frederick H. Streitz
+	Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates	2020	Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer Timothy C. Germann Sara Y. Del Valle Frederick H. Streitz
+	Generative Patch Priors for Practical Compressive Image Recovery	2020	Rushil Anirudh Suhas Lohit Pavan Turaga
+	Unsupervised Audio Source Separation using Generative Priors	2020	Vivek Narayanaswamy Jayaraman J. Thiagarajan Rushil Anirudh Andreas Spanias
+	Accurate and Robust Feature Importance Estimation under Distribution Shifts	2020	Jayaraman J. Thiagarajan Vivek Narayanaswamy Rushil Anirudh Peer‐Timo Bremer Andreas Spanias
+	Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies	2019	Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer B. K. Spears
+	MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking	2019	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	Merlin: Enabling Machine Learning-Ready HPC Ensembles	2019	J. L. Peterson Rushil Anirudh Kevin Athey Benjamin Bay Peer‐Timo Bremer Vic Castillo Francesco Di Natale David L. Fox Jim Gaffney David Hysom
+	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets	2019	Sam Adé Jacobs Brian Van Essen David Hysom Jae-Seung Yeom Tim Moon Rushil Anirudh Jayaraman J. Thiagaranjan Shusen Liu Peer‐Timo Bremer Jim Gaffney
+	Improving Limited Angle CT Reconstruction with a Robust GAN Prior	2019	Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan Karthika Mohan Kyle Champley
+	Extreme Few-view CT Reconstruction using Deep Inference	2019	Hyojin Kim Rushil Anirudh K. Aditya Mohan Kyle Champley
+	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets	2019	Sam Adé Jacobs Jim Gaffney Tom Benson Peter Robinson Luc Peterson B. K. Spears Brian Van Essen David Hysom Jae-Seung Yeom Tim Moon
+	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications	2019	Shusen Liu Jim Gaffney Luc Peterson Peter Robinson Harsh Bhatia Valerio Pascucci B. K. Spears Peer‐Timo Bremer Di Wang Dan Maljovec
+	Multiple Subspace Alignment Improves Domain Adaptation	2019	Kowshik Thopalli Rushil Anirudh Jayaraman J. Thiagarajan Pavan Turaga
+	Understanding Deep Neural Networks through Input Uncertainties	2019	Jayaraman J. Thiagarajan Irene Kim Rushil Anirudh Peer‐Timo Bremer
+	Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification	2019	Rushil Anirudh Jayaraman J. Thiagarajan
+	SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation	2019	Kowshik Thopalli Jayaraman J. Thiagarajan Rushil Anirudh Pavan Turaga
+	Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications	2019	Shusen Liu Di Wang Dan Maljovec Rushil Anirudh Jayaraman J. Thiagarajan Sam Adé Jacobs Brian C. Van Essen David Hysom Jae-Seung Yeom Jim Gaffney
+	Function Preserving Projection for Scalable Exploration of High-Dimensional Data	2019	Shusen Liu Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer
+	Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion	2019	Rushil Anirudh Jayaraman J. Thiagarajan Shusen Liu Peer‐Timo Bremer B. K. Spears
+	Enabling Machine Learning-Ready HPC Ensembles with Merlin	2019	Peterson Jl Bay B J. M. Koning Peter Robinson Jessica Semler Jeremy White Rushil Anirudh Kevin Athey Peer‐Timo Bremer Natale Fd
+	MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking	2019	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	Extreme Few-view CT Reconstruction using Deep Inference	2019	Hyojin Kim Rushil Anirudh K. Aditya Mohan Kyle Champley
+	Parallelizing Training of Deep Generative Models on Massive Scientific Datasets	2019	Sam Adé Jacobs Brian Van Essen David Hysom Jae-Seung Yeom Tim Moon Rushil Anirudh Jayaraman J. Thiagaranjan Shusen Liu Peer‐Timo Bremer Jim Gaffney
+	Improving Limited Angle CT Reconstruction with a Robust GAN Prior	2019	Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan K. Aditya Mohan Kyle Champley
+	MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense	2018	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	Understanding Deep Neural Networks through Input Uncertainties	2018	Jayaraman J. Thiagarajan Irene Kim Rushil Anirudh Peer‐Timo Bremer
+ PDF Chat	Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion	2018	Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan K. Aditya Mohan Kyle Champley Peer‐Timo Bremer
+	An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks	2018	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis	2018	Rushil Anirudh Jayaraman J. Thiagarajan Rahul Sridhar Peer‐Timo Bremer
+	Unsupervised Dimension Selection using a Blue Noise Spectrum	2018	Jayaraman J. Thiagarajan Rushil Anirudh Rahul Sridhar Peer‐Timo Bremer
+	MR-GAN: Manifold Regularized Generative Adversarial Networks	2018	Qunwei Li Bhavya Kailkhura Rushil Anirudh Yi Zhou Yingbin Liang Pramod K. Varshney
+	Multiple Subspace Alignment Improves Domain Adaptation	2018	Kowshik Thopalli Rushil Anirudh Jayaraman J. Thiagarajan Pavan Turaga
+	Understanding Deep Neural Networks through Input Uncertainties	2018	Jayaraman J. Thiagarajan Irene Kim Rushil Anirudh Peer‐Timo Bremer
+	An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks	2018	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense	2018	Rushil Anirudh Jayaraman J. Thiagarajan Bhavya Kailkhura Peer‐Timo Bremer
+	Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion	2017	Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan K. Aditya Mohan Kyle Champley Peer‐Timo Bremer
+	Influential Sample Selection: A Graph Signal Processing Approach.	2017	Rushil Anirudh Jayaraman J. Thiagarajan Rahul Sridhar Peer‐Timo Bremer
+	Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification	2017	Rushil Anirudh Jayaraman J. Thiagarajan
+	MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis	2017	Rushil Anirudh Jayaraman J. Thiagarajan Rahul Sridhar Peer‐Timo Bremer
+	Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion	2017	Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan Karthika Mohan Kyle Champley Peer‐Timo Bremer
+	Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification	2017	Rushil Anirudh Jayaraman J. Thiagarajan
+	Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series	2016	Rushil Anirudh Jayaraman J. Thiagarajan I Kim Wolfgang Polonik
+	Diversity Promoting Online Sampling for Streaming Video Summarization	2016	Rushil Anirudh Ahnaf Masroor Pavan Turaga
+ PDF Chat	Diversity promoting online sampling for streaming video summarization	2016	Rushil Anirudh Ahnaf Masroor Pavan Turaga
+ PDF Chat	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams	2016	Rushil Anirudh Vinay Venkataraman Karthikeyan Natesan Ramamurthy Pavan Turaga
+	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams	2016	Rushil Anirudh Vinay Venkataraman Karthikeyan Natesan Ramamurthy Pavan Turaga
+	Elastic Functional Coding of Riemannian Trajectories	2016	Rushil Anirudh Pavan Turaga Jingyong Su Anuj Srivastava
+	Statistical and dynamical modeling of Riemannian trajectories with application to human movement analysis	2016	Rushil Anirudh
+	Diversity Promoting Online Sampling for Streaming Video Summarization	2016	Rushil Anirudh Ahnaf Masroor Pavan Turaga
+	Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series	2016	Rushil Anirudh Jayaraman J. Thiagarajan Irene Kim Wolfgang Polonik
+	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams	2016	Rushil Anirudh Vinay Venkataraman Karthikeyan Natesan Ramamurthy Pavan Turaga
+	Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds	2015	Rushil Anirudh Pavan Turaga
+	Temporal Reflection Symmetry of Human Actions: A Riemannian Analysis	2015	Qiao Wang Rushil Anirudh Pavan Turaga
+	Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data	2014	Rushil Anirudh Pavan Turaga
+ PDF Chat	Interactively test driving an object detector: Estimating performance on unlabeled data	2014	Rushil Anirudh Pavan Turaga
+	Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds	2014	Rushil Anirudh Pavan Turaga
+	Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data	2014	Rushil Anirudh Pavan Turaga

Common Coauthors

Coauthor	Papers Together
Jayaraman J. Thiagarajan	83
Peer‐Timo Bremer	50
Pavan Turaga	25
B. K. Spears	20
Bhavya Kailkhura	15
Jim Gaffney	15
Shusen Liu	12
Vivek Narayanaswamy	10
Kyle Champley	10
Hyojin Kim	9
Bogdan Kustowski	9
K. Aditya Mohan	8
Jae-Seung Yeom	7
Brian Van Essen	7
Andreas Spanias	7
Sam Adé Jacobs	7
Peter Robinson	7
David Hysom	6
Suhas Lohit	6
Kowshik Thopalli	6
Luc Peterson	5
Gemma J. Anderson	5
Rahul Sridhar	5
Chitta Baral	4
T. Ma	4
Tejas Gokhale	4
Karthika Mohan	4
Matthew Olson	4
Frederick H. Streitz	4
Mark Heimann	4
Yezhou Yang	4
Irene Kim	4
Sara Y. Del Valle	4
Timothy C. Germann	4
J. L. Peterson	4
Vinay Venkataraman	3
Suren Jayasuriya	3
Jayaraman J. Thiagaranjan	3
Puja Trivedi	3
Karthikeyan Natesan Ramamurthy	3
Albert Reed	3
Yamen Mubarka	3
Rakshith Subramanyam	3
Tim Moon	3
Ahnaf Masroor	3
T. S. Jayram	3
Joseph Koning	3
Kevin Athey	3
Jessica Semler	3
Tom Benson	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	10
+ PDF Chat	Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees	2018	Viraj Shah Chinmay Hegde	10
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	10
+ PDF Chat	Improved surrogates in inertial confinement fusion with manifold and cycle consistencies	2020	Rushil Anirudh Jayaraman J. Thiagarajan Peer‐Timo Bremer B. K. Spears	10
+ PDF Chat	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2017	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang	9
+ PDF Chat	Semantic Image Inpainting with Deep Generative Models	2017	Raymond A. Yeh Chen Chen Teck Yian Lim Alexander G. Schwing Mark Hasegawa–Johnson N. Minh	9
+ PDF Chat	One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models	2017	Je-Yuan Chang Chun‐Liang Li Barnabás Póczos B. V. K. Vijaya Kumar Aswin C. Sankaranarayanan	7
+ PDF Chat	Deep Convolutional Neural Network for Inverse Problems in Imaging	2017	Kyong Hwan Jin Michael T. McCann Emmanuel Froustey Michaël Unser	7
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	7
+ PDF Chat	Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion	2018	Rushil Anirudh Hyojin Kim Jayaraman J. Thiagarajan K. Aditya Mohan Kyle Champley Peer‐Timo Bremer	6
+	Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape	2004	P. Thomas Fletcher C. Lu Stephen M. Pizer Shantanu Joshi	6
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	6
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	6
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+	Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and video surveillance	2014	Jingyong Su Sebastian Kurtek Eric Klassen Anuj Srivastava	5
+ PDF Chat	CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks	2018	M. Paganini Luke de Oliveira Benjamin Nachman	5
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	5
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	5
+	How to conjugateC 1-close group actions	1973	Karsten Grove Hermann Karcher	5
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	5
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	5
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	5
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	5
+	Compressed Sensing using Generative Models	2017	Ashish Bora Ajil Jalal Eric Price Alexandros G. Dimakis	4
+ PDF Chat	Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification	2018	Rohit Tripathy Ilias Bilionis	4
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	4
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	4
+	Solving Bilinear Inverse Problems using Deep Generative Priors.	2018	Muhammad Asim Fahad Shamshad Ali Ahmed	4
+ PDF Chat	Deep learning: A guide for practitioners in the physical sciences	2018	B. K. Spears James M. Brase Peer‐Timo Bremer Barry Chen J. E. Field Jim Gaffney Michael Kruse S. Langer Katie L. Lewis R. Nora	4
+ PDF Chat	SinGAN: Learning a Generative Model From a Single Natural Image	2019	Tamar Rott Shaham Tali Dekel Tomer Michaeli	4
+ PDF Chat	From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices	2014	Mehrtash Harandi Mathieu Salzmann Richard Hartley	4
+ PDF Chat	ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing	2018	Jian Zhang Bernard Ghanem	4
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	4
+ PDF Chat	A Riemannian Framework for Tensor Computing	2005	Xavier Pennec Pierre Fillard Nicholas Ayache	4
+	Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network	2016	Hanming Zhang Liang Li Kai Qiao Linyuan Wang Bin Yan Lei Li Guoen Hu	4
+	Wasserstein Auto-Encoders	2018	Ilya Tolstikhin Olivier Bousquet Sylvain Gelly Bernhard Schölkopf	4
+	Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference	2016	Vinay Venkataraman Pavan Turaga	4
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	4
+	Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors	2019	Gauri Jagatap Chinmay Hegde	4
+ PDF Chat	Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval	2019	Rakib Hyder Viraj Shah Chinmay Hegde M. Salman Asif	4
+	Searching for exotic particles in high-energy physics with deep learning	2014	Pierre Baldi Peter Sadowski D. Whiteson	4
+	Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data	2019	Yinhao Zhu Nicholas Zabaras Phaedon‐Stelios Koutsourelakis Paris Perdikaris	4
+	Projective Shape Analysis	1999	Colin Goodall Kanti V. Mardia	4
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	4
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	4
+	Deep Neural Network Initialization With Decision Trees	2018	Kelli Humbird J. L. Peterson Ryan G. McClarren	4
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	4
+	Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks	2018	Reinhard Heckel Paul Hand	4
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3