Youngsoo Choi

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 52

Top Topics

Kalman Filtering

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Seung Whan Chung, Youngsoo Choi, Pratanu Roy, Thomas Moore, Thomas Roy, Tiras Y. Lin, Du Y. Nguyen, Christopher Hahn, Eric B. Duoss, Sarah E. Baker
Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition. CoRR (2024)
Christophe Bonneville, Xiaolong He, April Tran, Jun Sur Richard Park, William Fries, Daniel A. Messenger, Siu Wun Cheung, Yeonjong Shin, David M. Bortz, Debojyoti Ghosh, Jiun-Shyan Chen, Jonathan L. Belof, Youngsoo Choi
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling. CoRR (2024)
Jessica T. Lauzon, Siu Wun Cheung, Yeonjong Shin, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models. SIAM J. Sci. Comput. 46 (4) (2024)
Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi
Physics-informed active learning with simultaneous weak-form latent space dynamics identification. CoRR (2024)
Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin
tLaSDI: Thermodynamics-informed latent space dynamics identification. CoRR (2024)
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
gLaSDI: Parametric physics-informed greedy latent space dynamics identification. J. Comput. Phys. 489 (2023)
Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR (2023)
Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder. CoRR (2023)
Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition. J. Comput. Phys. 472 (2023)
Tianshu Wen, Kookjin Lee, Youngsoo Choi
Reduced-order modeling for parameterized PDEs via implicit neural representations. CoRR (2023)
Ping-Hsuan Tsai, Seung Whan Chung, Debojyoti Ghosh, John Loffeld, Youngsoo Choi, Jonathan L. Belof
Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling. CoRR (2023)
Quincy A. Huhn, Mauricio E. Tano, Jean C. Ragusa, Youngsoo Choi
Parametric dynamic mode decomposition for reduced order modeling. J. Comput. Phys. 475 (2023)
Aaron L. Brown, Eric B. Chin, Youngsoo Choi, Saad A. Khairallah, Joseph T. McKeown
A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing. CoRR (2023)
Cosmin G. Petra, Miguel A. Salazar de Troya, Noemi Petra, Youngsoo Choi, Geoffrey M. Oxberry, Daniel A. Tortorelli
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations. Optim. Methods Softw. 38 (1) (2023)
Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh, Jonathan L. Belof
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations. CoRR (2023)
April Tran, Xiaolong He, Daniel A. Messenger, Youngsoo Choi, David M. Bortz
Weak-Form Latent Space Dynamics Identification. CoRR (2023)
Siu Wun Cheung, Youngsoo Choi, H. Keo Springer, Teeratorn Kadeethum
Data-scarce surrogate modeling of shock-induced pore collapse process. CoRR (2023)
Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems. IEEE Access 11 (2023)
Youngsoo Choi, Yongmun Yun, Woo-Jeong Jeon, Seung-Hyun Kong
A Novel Approach for Estimating Vehicle Speed in Nighttime Traffic Accidents from Daytime Video Information. ITSC (2023)
Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss
A fast and accurate domain-decomposition nonlinear manifold reduced order model. CoRR (2023)
Seung-Won Suh, Seung Whan Chung, Peer-Timo Bremer, Youngsoo Choi
Accelerating Flow Simulations using Online Dynamic Mode Decomposition. CoRR (2023)
Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss
Nonlinear-manifold reduced order models with domain decomposition. CoRR (2023)
Quincy A. Huhn, Mauricio E. Tano, Jean C. Ragusa, Youngsoo Choi
Parametric Dynamic Mode Decomposition for Reduced Order Modeling. CoRR (2022)
William Fries, Xiaolong He, Youngsoo Choi
LaSDI: Parametric Latent Space Dynamics Identification. CoRR (2022)
Sean McBane, Youngsoo Choi, Karen Willcox
Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models. CoRR (2022)
Xiaolong He, Youngsoo Choi, William D. Fries, Jon Belof, Jiun-Shyan Chen
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification. CoRR (2022)
Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek Zohdi
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. J. Comput. Phys. 451 (2022)
Siu Wun Cheung, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
Local Lagrangian reduced-order modeling for Rayleigh-Taylor instability by solution manifold decomposition. CoRR (2022)
Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. 167 (2022)
Jessica T. Lauzon, Siu Wun Cheung, Yeonjong Shin, Youngsoo Choi, Dylan Matthew Copeland, Kevin Huynh
S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models. CoRR (2022)
Xiaolong He, Youngsoo Choi, William D. Fries, Jonathan L. Belof, Jiun-Shyan Chen
Certified data-driven physics-informed greedy auto-encoder simulator. CoRR (2022)
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR (2022)
Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof
Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities. CoRR (2022)
Youngsoo Choi, Peter Brown, William J. Arrighi, Robert Anderson, Kevin Huynh
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. J. Comput. Phys. 424 (2021)
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. Nat. Comput. Sci. 1 (12) (2021)
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks. CoRR (2021)
Dylan Matthew Copeland, Siu Wun Cheung, Kevin Huynh, Youngsoo Choi
Reduced order models for Lagrangian hydrodynamics. CoRR (2021)
Youngsoo Choi, Deshawn Coombs, Robert Anderson
SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction. SIAM J. Sci. Comput. 42 (2) (2020)
Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek Zohdi
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. CoRR (2020)
Seikwon Kim, Sunwoo Nam, Youngsoo Choi, Hyowon Kim, Venugopal S. M, Chirag Kataria, Kodam Nagaraju, Surya Kumar, Eun Namgung
Semantic-based quality of service management for real-time WebRTC streaming service. ISWC (Demos/Industry) (2020)
Sean McBane, Youngsoo Choi
Component-wise reduced order model lattice-type structure design. CoRR (2020)
Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek Zohdi
Efficient nonlinear manifold reduced order model. CoRR (2020)
Youngkyu Kim, Karen May Wang, Youngsoo Choi
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code. CoRR (2020)
Chi Hoang, Youngsoo Choi, Kevin Carlberg
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction. CoRR (2020)
Youngsoo Choi, Gabriele Boncoraglio, Spenser Anderson, David Amsallem, Charbel Farhat
Gradient-based constrained optimization using a database of linear reduced-order models. J. Comput. Phys. 423 (2020)
Youngsoo Choi, Peter Brown, Bill Arrighi, Robert Anderson
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. CoRR (2019)
Youngsoo Choi, Kevin Carlberg
Space-Time Least-Squares Petrov-Galerkin Projection for Nonlinear Model Reduction. SIAM J. Sci. Comput. 41 (1) (2019)
Youngsoo Choi, Geoffrey Oxberry, Daniel White, Trenton Kirchdoerfer
Accelerating design optimization using reduced order models. CoRR (2019)
Youngsoo Choi, Deshawn Coombs, Robert Anderson
SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction. CoRR (2018)
Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan
Conservative model reduction for finite-volume models. J. Comput. Phys. 371 (2018)
Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan
Conservative model reduction for finite-volume models. CoRR (2017)
Youngsoo Choi, Kevin Carlberg
Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction. CoRR (2017)
Youngsoo Choi, Charbel Farhat, Walter Murray, Michael A. Saunders
A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control. J. Sci. Comput. 65 (2) (2015)
Youngsoo Choi, Sanguk Noh, Kyunghee Choi, Gihyun Jung
Autonomous and Dependable Recovery Scheme in UPnP Network Settings. IDEAL (2005)
Sanguk Noh, Youngsoo Choi, Haesung Seo, Kyunghee Choi, Gihyun Jung
An Intelligent Topic-Specific Crawler Using Degree of Relevance. IDEAL (2004)
Youngsoo Choi, Allan D. Knies, Luke Gerke, Tin-Fook Ngai
The impact of if-conversion and branch prediction on program execution on the Intel Itanium processor. MICRO (2001)