Matthias Chung

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 19

Top Topics

Ordinary Differential Equations

Efficient Learning

Inverse Problems

Top Venues

SIAM J. Sci. Comput.

SIAM J. Matrix Anal. Appl.

Publications

Matthias Chung, Rick Archibald, Paul Atzberger, Jack Michael Solomon
-Autoencoders for Scientific Data Compression. CoRR (2024)
Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
Paired Autoencoders for Inverse Problems. CoRR (2024)
Babak Maboudi Afkham, Julianne Chung, Matthias Chung
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks. CoRR (2023)
Rana A. Genedy, Matthias Chung, Jactone A. Ogejo
Physics-informed neural networks for predicting liquid dairy manure temperature during storage. Neural Comput. Appl. 35 (16) (2023)
Elizabeth Newman, Jack Michael Solomon, Matthias Chung
Image reconstructions using sparse dictionary representations and implicit, non-negative mappings. CoRR (2023)
Matthias Chung, Justin Krueger, Honghu Liu
Least-squares finite element method for ordinary differential equations. J. Comput. Appl. Math. 418 (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)
Matthias Chung, Rosemary Renaut
The Variable Projected Augmented Lagrangian Method. CoRR (2022)
Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. CoRR (2021)
Matthias Chung, Justin Krueger, Honghu Liu
Least-Squares Finite Element Method for Ordinary Differential Equations. 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)
Matthias Chung, Mickaël Binois, Robert B. Gramacy, Johnathan M. Bardsley, David J. Moquin, Amanda P. Smith, Amber M. Smith
Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes. SIAM J. Sci. Comput. 41 (4) (2019)
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)
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, Matthias Chung
Optimal Regularized Inverse Matrices for Inverse Problems. SIAM J. Matrix Anal. Appl. 38 (2) (2017)
Robert J. Smith?, Bruce Y. Lee, Aristides Moustakas, Andreas Zeigler, Mélanie Prague, Romualdo Santos, Matthias Chung, Robin Gras, Valery Forbes, Sixten Borg, Tracy Comans, Yifei Ma, Nieko Punt, William Jusko, Lucas Brotz, Ayaz Hyder
Population modelling by examples ii. SummerSim (2016)
Julianne Chung, Matthias Chung
An Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices. CoRR (2014)
Eldad Haber, Matthias Chung
Simultaneous Source for non-uniform data variance and missing data. CoRR (2014)
Matthias Chung, Qi Long, Brent A. Johnson
A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems. Stat. Comput. 23 (5) (2013)
Julianne Chung, Matthias Chung
Computing optimal low-rank matrix approximations for image processing. ACSSC (2013)
Matthias Chung, Eldad Haber
Experimental Design for Biological Systems. SIAM J. Control. Optim. 50 (1) (2012)
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)
Eldad Haber, Matthias Chung, Felix Herrmann
An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides. SIAM J. Optim. 22 (3) (2012)
Julianne Chung, Matthias Chung, Dianne P. O'Leary
Designing Optimal Spectral Filters for Inverse Problems. SIAM J. Sci. Comput. 33 (6) (2011)