Julianne Chung

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 26

Top Topics

Tomographic Reconstruction

Inverse Problems

Top Venues

SIAM J. Sci. Comput.

SIAM J. Matrix Anal. Appl.

Publications

Julianne Chung, Lucas Onisk, Yiran Wang
Iterative Reconstruction Methods for Cosmological X-Ray Tomography. CoRR (2024)
Julianne Chung, Silvia Gazzola
Computational Methods for Large-Scale Inverse Problems: A Survey on Hybrid Projection Methods. SIAM Rev. 66 (2) (2024)
Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
Paired Autoencoders for Inverse Problems. CoRR (2024)
Julianne Chung, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba
Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems. SIAM J. Sci. Comput. 46 (2) (2024)
Babak Maboudi Afkham, Julianne Chung, Matthias Chung
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks. CoRR (2023)
Julianne Chung, Malena Sabaté Landman
Flexible Krylov Methods for Group Sparsity Regularization. CoRR (2023)
Khalil A Hall-Hooper, Arvind K. Saibaba, Julianne Chung, Scot M. Miller
Efficient iterative methods for hyperparameter estimation in large-scale linear inverse problems. CoRR (2023)
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. SIAM J. Sci. Comput. 44 (4) (2022)
Julianne Chung, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba
Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems. CoRR (2022)
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. CoRR (2021)
Julianne Chung
Research in Inverse Problems and Training in Computational Science: A Reflection on the Importance of Community. Comput. Sci. Eng. 23 (6) (2021)
Julianne Chung, Silvia Gazzola
Computational methods for large-scale inverse problems: a survey on hybrid projection methods. CoRR (2021)
Babak Maboudi Afkham, Julianne Chung, Matthias Chung
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks. CoRR (2021)
Julianne Chung, Matthias Chung, Silvia Gazzola, Mirjeta Pasha
Efficient learning methods for large-scale optimal inversion design. CoRR (2021)
Jiahua Jiang, Julianne Chung, Eric de Sturler
Hybrid Projection Methods with Recycling for Inverse Problems. SIAM J. Sci. Comput. 43 (5) (2021)
Arvind K. Saibaba, Julianne Chung, Katrina Petroske
Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems. Numer. Linear Algebra Appl. 27 (5) (2020)
Taewon Cho, Julianne Chung, Jiahua Jiang
Hybrid Projection Methods for Large-scale Inverse Problems with Mixed Gaussian Priors. CoRR (2020)
Julianne Chung, Eric de Sturler, Jiahua Jiang
Hybrid Projection Methods with Recycling for Inverse Problems. CoRR (2020)
Julianne Chung, Matthias Chung, J. Tanner Slagel
Iterative Sampled Methods for Massive and Separable Nonlinear Inverse Problems. SSVM (2019)
Julianne Chung, Matthias Chung, J. Tanner Slagel, Luis Tenorio
Sampled Limited Memory Methods for Massive Linear Inverse Problems. CoRR (2019)
Julianne Chung, Silvia Gazzola
Regularization. SIAM J. Sci. Comput. 41 (5) (2019)
Lars Ruthotto, Julianne Chung, Matthias Chung
Optimal Experimental Design for Inverse Problems with State Constraints. SIAM J. Sci. Comput. 40 (4) (2018)
Julianne Chung, Matthias Chung, J. Tanner Slagel, Luis Tenorio
Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems. CoRR (2017)
Julianne Chung, Arvind K. Saibaba
Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems. SIAM J. Sci. Comput. 39 (5) (2017)
Julianne Chung, Matthias Chung
Optimal Regularized Inverse Matrices for Inverse Problems. SIAM J. Matrix Anal. Appl. 38 (2) (2017)
Julianne Chung, Linh Nguyen
Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction. SIAM J. Imaging Sci. 10 (1) (2017)
Julianne Chung, Katrina Palmer
A Hybrid LSMR Algorithm for Large-Scale Tikhonov Regularization. SIAM J. Sci. Comput. 37 (5) (2015)
Julianne Chung, Matthias Chung
An Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices. CoRR (2014)
Julianne Chung, Matthias Chung
Computing optimal low-rank matrix approximations for image processing. ACSSC (2013)
Julianne Chung, Matthias Chung, Dianne P. O'Leary
Optimal Filters from Calibration Data for Image Deconvolution with Data Acquisition Error. J. Math. Imaging Vis. 44 (3) (2012)
Julianne Chung, Glenn R. Easley, Dianne P. O'Leary
Windowed Spectral Regularization of Inverse Problems. SIAM J. Sci. Comput. 33 (6) (2011)
Julianne Chung, Matthias Chung, Dianne P. O'Leary
Designing Optimal Spectral Filters for Inverse Problems. SIAM J. Sci. Comput. 33 (6) (2011)
Julianne Chung, James G. Nagy, Ioannis Sechopoulos
Numerical Algorithms for Polyenergetic Digital Breast Tomosynthesis Reconstruction. SIAM J. Imaging Sci. 3 (1) (2010)
Julianne Chung, James G. Nagy
An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems. SIAM J. Sci. Comput. 31 (6) (2010)
Julianne Chung, Philip Sternberg, Chao Yang
High-Performance Three-Dimensional Image Reconstruction for Molecular Structure Determination. Int. J. High Perform. Comput. Appl. 24 (2) (2010)