Youngsoo Choi

Orcid: 0000-0001-8797-7970

According to our database1, Youngsoo Choi authored at least 46 papers between 2001 and 2024.

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Bibliography

2024
Train Small, Model Big: Scalable Physics Simulators via Reduced Order Modeling and Domain Decomposition.
CoRR, 2024

2023
Parametric dynamic mode decomposition for reduced order modeling.
J. Comput. Phys., February, 2023

On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations.
Optim. Methods Softw., January, 2023

gLaSDI: Parametric physics-informed greedy latent space dynamics identification.
J. Comput. Phys., 2023

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition.
J. Comput. Phys., 2023

Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations.
CoRR, 2023

Nonlinear-manifold reduced order models with domain decomposition.
CoRR, 2023

Accelerating Flow Simulations using Online Dynamic Mode Decomposition.
CoRR, 2023

A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing.
CoRR, 2023

Reduced-order modeling for parameterized PDEs via implicit neural representations.
CoRR, 2023

Weak-Form Latent Space Dynamics Identification.
CoRR, 2023

Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling.
CoRR, 2023

Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer.
CoRR, 2023

GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder.
CoRR, 2023

Data-scarce surrogate modeling of shock-induced pore collapse process.
CoRR, 2023

A fast and accurate domain-decomposition nonlinear manifold reduced order model.
CoRR, 2023

Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems.
IEEE Access, 2023

A Novel Approach for Estimating Vehicle Speed in Nighttime Traffic Accidents from Daytime Video Information.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.
J. Comput. Phys., 2022

Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties.
Comput. Geosci., 2022

Certified data-driven physics-informed greedy auto-encoder simulator.
CoRR, 2022

Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities.
CoRR, 2022

Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models.
CoRR, 2022

S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models.
CoRR, 2022

LaSDI: Parametric Latent Space Dynamics Identification.
CoRR, 2022

Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds.
CoRR, 2022

2021
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems.
J. Comput. Phys., 2021

Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques.
CoRR, 2021

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.
CoRR, 2021

Reduced order models for Lagrangian hydrodynamics.
CoRR, 2021

2020
SNS: A Solution-Based Nonlinear Subspace Method for Time-Dependent Model Order Reduction.
SIAM J. Sci. Comput., 2020

Gradient-based constrained optimization using a database of linear reduced-order models.
J. Comput. Phys., 2020

Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code.
CoRR, 2020

Efficient nonlinear manifold reduced order model.
CoRR, 2020

Component-wise reduced order model lattice-type structure design.
CoRR, 2020

Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction.
CoRR, 2020

Semantic-based quality of service management for real-time WebRTC streaming service.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

2019
Space-Time Least-Squares Petrov-Galerkin Projection for Nonlinear Model Reduction.
SIAM J. Sci. Comput., 2019

Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems.
CoRR, 2019

Accelerating design optimization using reduced order models.
CoRR, 2019

2018
Conservative model reduction for finite-volume models.
J. Comput. Phys., 2018

SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction.
CoRR, 2018

2015
A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control.
J. Sci. Comput., 2015

2005
Autonomous and Dependable Recovery Scheme in UPnP Network Settings.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004
An Intelligent Topic-Specific Crawler Using Degree of Relevance.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2001
The impact of if-conversion and branch prediction on program execution on the Intel Itanium processor.
Proceedings of the 34th Annual International Symposium on Microarchitecture, 2001


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