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Yoonsang Lee 0002
Person information
- affiliation: Dartmouth College, Hanover, NH, USA
- affiliation (since 2013): New York University, NY, USA
- affiliation (2017 - 2018): Lawrence Berkeley National Laboratory, CA, USA
- affiliation (PhD 2013): University of Texas at Austin, USA
Other persons with the same name
- Yoonsang Lee 0001
— Hanyang University, Division of Computer Science and Engineering, South Korea
- Yoon Sang Lee 0003
- Yoonsang Lee 0004 — Seoul National University, College of Liberal Studies, South Korea
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Journal Articles
- 2024
- [j14]Tongtong Li
A structurally informed data assimilation approach for nonlinear partial differential equations. J. Comput. Phys. 519: 113396 (2024) - [j13]Jihun Han
A stochastic approach for elliptic problems in perforated domains. J. Comput. Phys. 519: 113426 (2024) - [j12]Zhen Chen, Anne Gelb
Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks. SIAM J. Sci. Comput. 46(2): 825- (2024) - [j11]Jihun Han
Learning In-Between Imagery Dynamics via Physical Latent Spaces. SIAM J. Sci. Comput. 46(5): 608- (2024) - 2023
- [j10]Jihun Han
Inhomogeneous regularization with limited and indirect data. J. Comput. Appl. Math. 428: 115193 (2023) - [j9]Tongtong Li
Improving numerical accuracy for the viscous-plastic formulation of sea ice. J. Comput. Phys. 487: 112184 (2023) - [j8]Jihun Han
A Neural Network Approach for Homogenization of Multiscale Problems. Multiscale Model. Simul. 21(2): 716-734 (2023) - 2021
- [j7]Yoonsang Lee
lp Regularization for Ensemble Kalman Inversion. SIAM J. Sci. Comput. 43(5): A3417-A3437 (2021) - 2017
- [j6]Yoonsang Lee
Stochastic Superparameterization and Multiscale Filtering of Turbulent Tracers. Multiscale Model. Simul. 15(1): 215-234 (2017) - 2016
- [j5]Yoonsang Lee
Multiscale numerical methods for passive advection-diffusion in incompressible turbulent flow fields. J. Comput. Phys. 317: 33-46 (2016) - 2015
- [j4]Yoonsang Lee
Multiscale Methods for Data Assimilation in Turbulent Systems. Multiscale Model. Simul. 13(2): 691-713 (2015) - [j3]Ian G. Grooms
Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence. Multiscale Model. Simul. 13(3): 1001-1021 (2015) - 2014
- [j2]Ian G. Grooms
Ensemble Kalman filters for dynamical systems with unresolved turbulence. J. Comput. Phys. 273: 435-452 (2014) - 2013
- [j1]Gil Ariel, Björn Engquist, S. Kim, Yoonsang Lee
A Multiscale Method for Highly Oscillatory Dynamical Systems Using a Poincaré Map Type Technique. J. Sci. Comput. 54(2-3): 247-268 (2013)
Conference and Workshop Papers
- 2023
- [c1]Jihun Han
Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks. ICCS (3) 2023: 548-562
Informal and Other Publications
- 2024
- [i13]Jihun Han, Yoonsang Lee:
Stochastic approach for elliptic problems in perforated domains. CoRR abs/2403.11385 (2024) - [i12]Bosu Choi, Yoonsang Lee:
Sampling error mitigation through spectrum smoothing in ensemble data assimilation. CoRR abs/2404.00154 (2024) - 2023
- [i11]Bosu Choi, Jihun Han, Yoonsang Lee:
Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data. CoRR abs/2307.10448 (2023) - [i10]Tongtong Li, Anne Gelb, Yoonsang Lee:
A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations. CoRR abs/2309.02585 (2023) - [i9]Jihun Han, Yoonsang Lee:
An analysis of the derivative-free loss method for solving PDEs. CoRR abs/2309.16829 (2023) - [i8]Jihun Han, Yoonsang Lee, Anne Gelb:
Learning In-between Imagery Dynamics via Physical Latent Spaces. CoRR abs/2310.09495 (2023) - 2022
- [i7]Jihun Han, Yoonsang Lee
A Neural Network Approach for Homogenization of Multiscale Problems. CoRR abs/2206.02032 (2022) - [i6]Tongtong Li, Anne Gelb, Yoonsang Lee
Improving numerical accuracy for the viscous-plastic formulation of sea ice. CoRR abs/2206.10061 (2022) - [i5]Zhen Chen, Anne Gelb, Yoonsang Lee
Designing Neural Networks for Hyperbolic Conservation Laws. CoRR abs/2211.14375 (2022) - 2021
- [i4]Yoonsang Lee:
Sampling error correction in ensemble Kalman inversion. CoRR abs/2105.11341 (2021) - [i3]Jihun Han, Yoonsang Lee:
Inhomogenous Regularization with Limited and Indirect Data. CoRR abs/2108.01703 (2021) - [i2]Jihun Han, Yoonsang Lee:
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks. CoRR abs/2112.01254 (2021) - 2020
- [i1]Yoonsang Lee:
lp regularization for ensemble Kalman inversion. CoRR abs/2009.03470 (2020)
Coauthor Index
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