Matthias Chung

40 papers Misc 1Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Space Inference via Paired Autoencoders. CoRR Emma Hart, Bas Peters, Julianne Chung, Matthias Chung
2026	J	`jnl`	Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification. CoRR Jack Michael Solomon, Rishi Leburu, Matthias Chung
2025	J	`jnl`	5D free-running, reconstruction, variable projection, ADMM, VPAL. CoRR Yitong Yang, Muhammad Naeem, Marly van Assen, Jerome Yerly, Davide Piccini, Matthias Stuber, John Oshinski, Matthias Chung
2025	J	`jnl`	A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization. CoRR Emma Hart, Julianne Chung, Matthias Chung
2025	J	`jnl`	Fast ℓ CoRR Jack Michael Solomon, Rosemary Anne Renaut, Matthias Chung
2025	J	`jnl`	Good Things Come in Pairs: Paired Autoencoders for Inverse Problems. CoRR Matthias Chung, Bas Peters, Michael Solomon
2025	J	`jnl`	Latent Twins. CoRR Matthias Chung, Deepanshu Verma, Max Collins, Amit N. Subrahmanya, Varuni Katti Sastry, Vishwas Rao
2025	J	`jnl`	Neural Optimal Design of Experiment for Inverse Problems. CoRR John E. Darges, Babak Maboudi Afkham, Matthias Chung
2025	J	`jnl`	Optimal Linear Baseline Models for Scientific Machine Learning. CoRR Alexander DeLise, Kyle Loh, Krish Patel, Meredith Teague, Andrea Arnold, Matthias Chung
2025	J	`jnl`	Variable Projected Augmented Lagrangian Methods for Generalized Lasso Problems. CoRR Stefano Aleotti, Davide Bianchi, Florian Bossmann, Riley Yizhou Chen, Matthias Chung
2024	J	`jnl`	A physics-aware data-driven surrogate approach for fast atmospheric radiative transfer inversion. CoRR Cristina Sgattoni, Luca Sgheri, Matthias Chung
2024	J	`jnl`	Paired Autoencoders for Inverse Problems. CoRR Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
2024	J	`jnl`	Paired Wasserstein Autoencoders for Conditional Sampling. CoRR Moritz Piening, Matthias Chung
2024	J	`jnl`	Paired autoencoders for likelihood-free estimation in inverse problems. Mach. Learn. Sci. Technol. Matthias Chung, Emma Hart, Julianne Chung, Bas Peters, Eldad Haber
2024	J	`jnl`	Sparse L CoRR Matthias Chung, Rick Archibald, Paul J. Atzberger, Jack Michael Solomon
2023	J	`jnl`	Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks. CoRR Babak Maboudi Afkham, Julianne Chung, Matthias Chung
2023	J	`jnl`	Image reconstructions using sparse dictionary representations and implicit, non-negative mappings. CoRR Elizabeth Newman, Jack Michael Solomon, Matthias Chung
2023	J	`jnl`	Least-squares finite element method for ordinary differential equations. J. Comput. Appl. Math. Matthias Chung, Justin Krueger, Honghu Liu
2023	J	`jnl`	Physics-informed neural networks for predicting liquid dairy manure temperature during storage. Neural Comput. Appl. Rana A. Genedy, Matthias Chung, Jactone A. Ogejo
2022	J	`jnl`	The Variable Projected Augmented Lagrangian Method. CoRR Matthias Chung, Rosemary A. Renaut
2022	J	`jnl`	slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. SIAM J. Sci. Comput. Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
2021	J	`jnl`	Efficient learning methods for large-scale optimal inversion design. CoRR Julianne Chung, Matthias Chung, Silvia Gazzola, Mirjeta Pasha
2021	J	`jnl`	Learning Regularization Parameters of Inverse Problems via Deep Neural Networks. CoRR Babak Maboudi Afkham, Julianne Chung, Matthias Chung
2021	J	`jnl`	Least-Squares Finite Element Method for Ordinary Differential Equations. CoRR Matthias Chung, Justin Krueger, Honghu Liu
2021	J	`jnl`	slimTrain - A Stochastic Approximation Method for Training Separable Deep Neural Networks. CoRR Elizabeth Newman, Julianne Chung, Matthias Chung, Lars Ruthotto
2019	—	`conf`	Iterative Sampled Methods for Massive and Separable Nonlinear Inverse Problems. SSVM Julianne Chung, Matthias Chung, J. Tanner Slagel
2019	J	`jnl`	Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes. SIAM J. Sci. Comput. Matthias Chung, Mickaël Binois, Robert B. Gramacy, Johnathan M. Bardsley, David J. Moquin, Amanda P. Smith, Amber M. Smith
2019	J	`jnl`	Sampled Limited Memory Methods for Massive Linear Inverse Problems. CoRR Julianne Chung, Matthias Chung, J. Tanner Slagel, Luis Tenorio
2018	J	`jnl`	Optimal Experimental Design for Inverse Problems with State Constraints. SIAM J. Sci. Comput. Lars Ruthotto, Julianne Chung, Matthias Chung
2017	J	`jnl`	Optimal Regularized Inverse Matrices for Inverse Problems. SIAM J. Matrix Anal. Appl. Julianne Chung, Matthias Chung
2017	J	`jnl`	Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems. CoRR Julianne Chung, Matthias Chung, J. Tanner Slagel, Luis Tenorio
2016	—	`conf`	Population modelling by examples ii. SummerSim 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
2014	J	`jnl`	An Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices. CoRR Julianne Chung, Matthias Chung
2014	J	`jnl`	Simultaneous Source for non-uniform data variance and missing data. CoRR Eldad Haber, Matthias Chung
2013	J	`jnl`	A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems. Stat. Comput. Matthias Chung, Qi Long, Brent A. Johnson
2013	Misc	`conf`	Computing optimal low-rank matrix approximations for image processing. ACSSC Julianne Chung, Matthias Chung
2012	J	`jnl`	An Effective Method for Parameter Estimation with PDE Constraints with Multiple Right-Hand Sides. SIAM J. Optim. Eldad Haber, Matthias Chung, Felix Herrmann
2012	J	`jnl`	Experimental Design for Biological Systems. SIAM J. Control. Optim. Matthias Chung, Eldad Haber
2012	J	`jnl`	Optimal Filters from Calibration Data for Image Deconvolution with Data Acquisition Error. J. Math. Imaging Vis. Julianne Chung, Matthias Chung, Dianne P. O'Leary
2011	J	`jnl`	Designing Optimal Spectral Filters for Inverse Problems. SIAM J. Sci. Comput. Julianne Chung, Matthias Chung, Dianne P. O'Leary