James G. Nagy - RankMe

70 papers B 1C 2Journal 60Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixed Precision Iterative Refinement for Linear Inverse Problems. SIAM J. Matrix Anal. Appl. James G. Nagy, Lucas Onisk
2025	J	`jnl`	H-CMRH: An Inner Product Free Hybrid Krylov Method for Large-Scale Inverse Problems. SIAM J. Matrix Anal. Appl. Ariana N. Brown, Malena Sabaté Landman, James G. Nagy
2025	J	`jnl`	Projected iterated Tikhonov regularization in low precision. CoRR Chelsea Drum, James G. Nagy, Lucas Onisk
2025	J	`jnl`	Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems. CoRR Malena Sabaté Landman, Ariana N. Brown, Julianne Chung, James G. Nagy
2025	J	`jnl`	Randomized and inner-product free Krylov methods for large-scale inverse problems. Numer. Algorithms Malena Sabaté Landman, Ariana N. Brown, Julianne Chung, James G. Nagy
2025	J	`jnl`	To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems. SIAM J. Sci. Comput. Davide Evangelista, Elena Loli Piccolomini, Elena Morotti, James G. Nagy
2024	J	`jnl`	H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems. CoRR Ariana N. Brown, Malena Sabaté Landman, James G. Nagy
2024	J	`jnl`	Inner Product Free Krylov Methods for Large-Scale Inverse Problems. CoRR Ariana N. Brown, Julianne Chung, James G. Nagy, Malena Sabaté Landman
2024	J	`jnl`	Mixed precision iterative refinement for linear inverse problems. CoRR James G. Nagy, Lucas Onisk
2023	J	`jnl`	Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators. J. Imaging Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy
2023	J	`jnl`	Ambiguity in solving imaging inverse problems with deep learning based operators. CoRR Davide Evangelista, Elena Morotti, Elena Loli Piccolomini, James G. Nagy
2023	J	`jnl`	Numerical methods for CT reconstruction with unknown geometry parameters. Numer. Algorithms Chang Meng, James G. Nagy
2022	J	`jnl`	Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets. SIAM J. Matrix Anal. Appl. Difeng Cai, James G. Nagy, Yuanzhe Xi
2022	J	`jnl`	To be or not to be stable, that is the question: understanding neural networks for inverse problems. CoRR Davide Evangelista, James G. Nagy, Elena Morotti, Elena Loli Piccolomini
2021	J	`jnl`	Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions. CoRR Difeng Cai, James G. Nagy, Yuanzhe Xi
2021	J	`jnl`	Iteratively Reweighted FGMRES and FLSQR for Sparse Reconstruction. SIAM J. Sci. Comput. Silvia Gazzola, James G. Nagy, Malena Sabate Landman
2021	J	`jnl`	Limited-Angle CT Reconstruction via the L SIAM J. Imaging Sci. Chao Wang, Min Tao, James G. Nagy, Yifei Lou
2021	J	`jnl`	Minimizing L1 over L2 norms on the gradient. CoRR Chao Wang, Min Tao, Chen-Nee Chuah, James G. Nagy, Yifei Lou
2020	J	`jnl`	An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images. CoRR Xiaotong Chen, James L. Herring, James G. Nagy, Yuanzhe Xi, Bo Yu
2020	J	`jnl`	Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. CoRR Kelvin K. Kan, James G. Nagy, Lars Ruthotto
2020	J	`jnl`	Gauss-Newton Optimization for Phase Recovery From the Bispectrum. IEEE Trans. Computational Imaging James L. Herring, James G. Nagy, Lars Ruthotto
2020	J	`jnl`	Krylov Methods for Low-Rank Regularization. SIAM J. Matrix Anal. Appl. Silvia Gazzola, Chang Meng, James G. Nagy
2020	J	`jnl`	Limited-angle CT reconstruction via the L1/L2 minimization. CoRR Chao Wang, Min Tao, James G. Nagy, Yifei Lou
2020	J	`jnl`	Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs. Bioinform. Blair J. Rossetti, Steven A. Wilbert, Jessica L. Mark Welch, Gary G. Borisy, James G. Nagy
2020	J	`jnl`	Structured FISTA for image restoration. Numer. Linear Algebra Appl. Zixuan Chen, James G. Nagy, Yuanzhe Xi, Bo Yu
2019	J	`jnl`	An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction. CoRR Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller
2019	J	`jnl`	IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems. Numer. Algorithms Silvia Gazzola, Per Christian Hansen, James G. Nagy
2019	J	`jnl`	Krylov Methods for Low-Rank Regularization. CoRR Silvia Gazzola, Chang Meng, James G. Nagy
2019	J	`jnl`	Spectral Computed Tomography with Linearization and Preconditioning. SIAM J. Sci. Comput. Yunyi Hu, Martin S. Andersen, James G. Nagy
2018	J	`jnl`	An alternating direction method of multipliers for the solution of matrix equations arising in inverse problems. Numer. Linear Algebra Appl. Jianjun Zhang, James G. Nagy
2018	—	`conf`	Dose reduction in breast CT by spectrum switching. IWBI Koen Michielsen, Christian Fedon, James G. Nagy, Ioannis Sechopoulos
2018	—	`conf`	Predicting Interpretability Loss in Thermal IR Imagery due to Compression. AIPR Huamei Chen, John M. Irvine, Zhonghai Wang, Genshe Chen, Erik Blasch, James G. Nagy
2018	J	`jnl`	Robust regression for mixed Poisson-Gaussian model. Numer. Algorithms Marie Kubínová, James G. Nagy
2018	J	`jnl`	Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications. SIAM J. Matrix Anal. Appl. Clarissa C. Garvey, Chang Meng, James G. Nagy
2017	J	`jnl`	LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables. CoRR James L. Herring, James G. Nagy, Lars Ruthotto
2016	—	`ch.`	Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion. Context-Enhanced Information Fusion Erik Blasch, Riad I. Hammoud, Haibin Ling, Dan Shen, James G. Nagy, Genshe Chen
2016	B	`conf`	Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks. ILP Marcin Malec, Tushar Khot, James G. Nagy, Erik Blask, Sriraam Natarajan
2015	J	`jnl`	Deblurring and Sparse Unmixing of Hyperspectral Images Using Multiple Point Spread Functions. SIAM J. Sci. Comput. Sebastian Berisha, James G. Nagy, Robert J. Plemmons
2015	J	`jnl`	Dedication to Robert J. Plemmons. Numer. Linear Algebra Appl. James G. Nagy, Michael K. Ng
2015	J	`jnl`	Estimation of atmospheric PSF parameters for hyperspectral imaging. Numer. Linear Algebra Appl. Sebastian Berisha, James G. Nagy, Robert J. Plemmons
2015	—	`ch.`	Large-Scale Inverse Problems in Imaging. Handbook of Mathematical Methods in Imaging Julianne Chung, Sarah Knepper, James G. Nagy
2015	C	`conf`	Video-to-text information fusion evaluation for level 5 user refinement. FUSION Erik Blasch, Haibin Ling, Dan Shen, Genshe Chen, Riad I. Hammoud, Arslan Basharat, Roddy Collins, Alex Aved, James G. Nagy
2014	J	`jnl`	Constrained numerical optimization methods for blind deconvolution. Numer. Algorithms Anastasia Cornelio, Elena Loli Piccolomini, James G. Nagy
2014	C	`conf`	Context aided video-to-text information fusion. FUSION Erik Blasch, James G. Nagy, Alex Aved, Eric K. Jones, William M. Pottenger, Arslan Basharat, Anthony Hoogs, Michael Schneider, Riad I. Hammoud, Genshe Chen, Dan Shen, Haibin Ling
2014	J	`jnl`	Generalized Arnoldi-Tikhonov Method for Sparse Reconstruction. SIAM J. Sci. Comput. Silvia Gazzola, James G. Nagy
2013	J	`jnl`	Iterative Breast Tomosynthesis Image Reconstruction. SIAM J. Sci. Comput. Veronica Mejia Bustamante, James G. Nagy, Steve S. J. Feng, Ioannis Sechopoulos
2013	J	`jnl`	Iterative Wavefront Reconstruction for Astronomical Imaging. SIAM J. Sci. Comput. Qing Chu, Stuart Jefferies, James G. Nagy
2012	J	`jnl`	An efficient computational approach for multiframe blind deconvolution. J. Comput. Appl. Math. Ying-Wai (Daniel) Fan, James G. Nagy
2011	J	`jnl`	Modern Mathematics in Biomedical Imaging. Int. J. Biomed. Imaging Yangbo Ye, Robert J. Plemmons, James G. Nagy, Qinian Jin
2011	J	`jnl`	Structured linear algebra problems in adaptive optics imaging. Adv. Comput. Math. Johnathan M. Bardsley, Sarah Knepper, James G. Nagy
2010	J	`jnl`	An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems. SIAM J. Sci. Comput. Julianne Chung, James G. Nagy
2010	J	`jnl`	Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. SIAM J. Imaging Sci. Julianne Chung, James G. Nagy, Ioannis Sechopoulos
2010	J	`jnl`	Parallel Colt: A High-Performance Java Library for Scientific Computing and Image Processing. ACM Trans. Math. Softw. Piotr Wendykier, James G. Nagy
2008	—	`conf`	Large-Scale Image Deblurring in Java. ICCS (1) Piotr Wendykier, James G. Nagy
2007	J	`jnl`	Kronecker product approximations for dense block Toeplitz-plus-Hankel matrices. Numer. Linear Algebra Appl. Misha Elena Kilmer, James G. Nagy
2007	—	`conf`	Variational Deconvolution of Multi-channel Images with Inequality Constraints. IbPRIA (1) Martin Welk, James G. Nagy
2006	J	`jnl`	Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging. SIAM J. Matrix Anal. Appl. Johnathan M. Bardsley, James G. Nagy
2006	J	`jnl`	Kronecker product approximation for preconditioning in three-dimensional imaging applications. IEEE Trans. Image Process. James G. Nagy, Misha Elena Kilmer
2004	J	`jnl`	Iterative Methods for Image Deblurring: A Matlab Object-Oriented Approach. Numer. Algorithms James G. Nagy, Katrina Palmer, Lisa Perrone
2003	J	`jnl`	Image deblurring: I can see clearly now. Comput. Sci. Eng. James G. Nagy, Dianne P. O'Leary
2003	J	`jnl`	Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions. SIAM J. Matrix Anal. Appl. James G. Nagy, Michael K. Ng, Lisa Perrone
2003	J	`jnl`	Partial solution to "Image deblurring: I can see clearly now". Comput. Sci. Eng. James G. Nagy, Dianne P. O'Leary
2003	J	`jnl`	Robot control: swinging like a pendulum. Comput. Sci. Eng. Dianne P. O'Leary, Yalin Evren Sagduyu, James G. Nagy
2000	J	`jnl`	Optimal Kronecker Product Approximation of Block Toeplitz Matrices. SIAM J. Matrix Anal. Appl. Julie Kamm, James G. Nagy
1998	J	`jnl`	Restoring Images Degraded by Spatially Variant Blur. SIAM J. Sci. Comput. James G. Nagy, Dianne P. O'Leary
1996	J	`jnl`	Iterative image restoration using approximate inverse preconditioning. IEEE Trans. Image Process. James G. Nagy, Robert J. Plemmons, Todd C. Torgersen
1996	—	`conf`	Least Squares and Total Least Squares Methods in Image Restoration. WNAA Julie Kamm, James G. Nagy
1994	J	`jnl`	Circulant Preconditioned Toeplitz Least Squares Iterations. SIAM J. Matrix Anal. Appl. Raymond H. Chan, James G. Nagy, Robert J. Plemmons
1994	J	`jnl`	Toeplitz approximate inverse preconditioner for banded Toeplitz matrices. Numer. Algorithms Martin Hanke, James G. Nagy
1993	J	`jnl`	Fast Inverse QR Factorization for Toeplitz Matrices. SIAM J. Sci. Comput. James G. Nagy