Julianne Chung

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Matthias ChungAssociate Professor of Mathematics, Emory UniversityVerified email at emory.edu
James NagyProfessor of Mathematics and Computer Science, Emory UniversityVerified email at emory.edu
Arvind K. SaibabaAssociate Professor, North Carolina State UniversityVerified email at ncsu.edu
Dianne P O'LearyProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Eldad HaberProfessor of Mathematics and Geophysics UBCVerified email at eoas.ubc.ca
Jiahua JiangUniversity of BirminghamVerified email at bham.ac.uk
Silvia GazzolaDipartimento di Matematica, Università di PisaVerified email at unipi.it
Scot M. MillerJohns Hopkins UniversityVerified email at jhu.edu
Lars RuthottoEmory UniversityVerified email at emory.edu
Malena EspanolArizona State UniversityVerified email at asu.edu
Babak Maboudi AfkhamPostdoc, Technical Universtiy of Denmark (DTU)Verified email at dtu.dk
Ioannis SechopoulosRadboud University Medical CenterVerified email at radboudumc.nl
Mirjeta PashaAssistant Professor of Data and High Performance Computational Mathematics @Virginia TechVerified email at vt.edu
Erik WestmanProfessor of Mining and Minerals Engineering, Virginia TechVerified email at vt.edu
David KozakOxford UniversityVerified email at bnc.ox.ac.uk
Misha KilmerTufts UniversityVerified email at tufts.edu
Hodjat PendarVirginia TechVerified email at vt.edu
Glenn EasleyUniversity of Maryland, Johns Hopkins Applied Physics LaboratoryVerified email at jhuapl.edu
Elizabeth NewmanAssistant Professor Emory UniversityVerified email at emory.edu
Jake SochaSamuel Herrick Professor, Department of Mechanical Engineering, Virginia TechVerified email at vt.edu

Julianne Chung

Emory University

Verified email at emory.edu

numerical linear algebra inverse problems machine learning


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A weighted GCV method for Lanczos hybrid regularization J Chung, JG Nagy, DP O’leary Electronic Transactions on Numerical Analysis 28 (149-167), 2008, 2008	254	2008
Numerical methods for coupled super-resolution J Chung, E Haber, J Nagy Inverse Problems 22 (4), 1261, 2006	127	2006
An efficient iterative approach for large-scale separable nonlinear inverse problems J Chung, JG Nagy SIAM Journal on Scientific Computing 31 (6), 4654-4674, 2010	78	2010
Learning regularization parameters of inverse problems via deep neural networks BM Afkham, J Chung, M Chung Inverse Problems 37 (10), 105017, 2021	62	2021
Computational methods for large-scale inverse problems: a survey on hybrid projection methods J Chung, S Gazzola Siam Review 66 (2), 205-284, 2024	49	2024
Flexible Krylov Methods for Regularization J Chung, S Gazzola SIAM Journal on Scientific Computing 41 (5), S149-S171, 2019	48	2019
Generalized hybrid iterative methods for large-scale Bayesian inverse problems J Chung, AK Saibaba SIAM Journal on Scientific Computing 39 (5), S24-S46, 2017	48	2017
Efficient generalized Golub–Kahan based methods for dynamic inverse problems J Chung, AK Saibaba, M Brown, E Westman Inverse Problems 34 (2), 024005, 2018	42	2018
A hybrid LSMR algorithm for large-scale Tikhonov regularization J Chung, K Palmer SIAM Journal on Scientific Computing 37 (5), S562-S580, 2015	41	2015
Large-Scale Inverse Problems in Imaging. J Chung, S Knepper, JG Nagy Handbook of Mathematical Methods in Imaging 1, 2015	40	2015
Learning regularization parameters for general-form Tikhonov J Chung, MI Español Inverse Problems 33 (7), 074004, 2017	38	2017
Designing optimal spectral filters for inverse problems J Chung, M Chung, DP O'Leary SIAM Journal on Scientific Computing 33 (6), 3132-3152, 2011	37	2011
Numerical algorithms for polyenergetic digital breast tomosynthesis reconstruction J Chung, JG Nagy, I Sechopoulos SIAM Journal on Imaging Sciences 3 (1), 133-152, 2010	35	2010
Motion estimation and correction in photoacoustic tomographic reconstruction J Chung, L Nguyen SIAM Journal on Imaging Sciences 10 (1), 216-242, 2017	32	2017
High-resolution iris image reconstruction from low-resolution imagery R Barnard, VP Pauca, TC Torgersen, RJ Plemmons, S Prasad, ... Advanced Signal Processing Algorithms, Architectures, and Implementations …, 2006	30	2006
Optimal experimental design for inverse problems with state constraints L Ruthotto, J Chung, M Chung SIAM Journal on Scientific Computing 40 (4), B1080-B1100, 2018	29	2018
Sampled Tikhonov regularization for large linear inverse problems JT Slagel, J Chung, M Chung, D Kozak, L Tenorio Inverse Problems 35 (11), 114008, 2019	28	2019
Optimal regularization parameters for general-form Tikhonov regularization J Chung, MI Español, T Nguyen arXiv preprint arXiv:1407.1911, 2014	23	2014
An efficient approach for computing optimal low-rank regularized inverse matrices J Chung, M Chung Inverse Problems 30 (11), 114009, 2014	22	2014
Computing optimal low-rank matrix approximations for image processing J Chung, M Chung 2013 Asilomar Conference on Signals, Systems and Computers, 670-674, 2013	22	2013

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