Jonghyun Lee

22 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics.
CoRR
Peter Rivera-Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Jason Trahan, Jonghyun Lee, Matthew W. Farthing, Clint Dawson
2024 J jnl
Multi-fidelity Hamiltonian Monte Carlo.
CoRR
Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve
2023 J jnl
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models.
CoRR
Jichao Bao, Hongkyu Yoon, Jonghyun Lee
2022 J jnl
Elastic Full-Waveform Inversion Using Both the Multiparametric Approximate Hessian and the Discrete Cosine Transform.
IEEE Trans. Geosci. Remote. Sens.
Dawoon Lee, Jonghyun Lee, Changsoo Shin, Sungryul Shin, Wookeen Chung
2021 J jnl
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.
CoRR
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021 J jnl
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks.
Nat. Comput. Sci.
Teeratorn Kadeethum, Daniel O'Malley, Jan Niklas Fuhg, Youngsoo Choi, Jonghyun Lee, Hari S. Viswanathan, Nikolaos Bouklas
2021 J jnl
Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions.
CoRR
William Reese, Arvind K. Saibaba, Jonghyun Lee
2021 — conf
Deep Learning-based Fast Solver of the Shallow Water Equations.
AAAI Spring Symposium: MLPS
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
2021 J jnl
Deep learning-based fast solver of the shallow water equations.
CoRR
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
2021 J jnl
PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication.
J. Parallel Distributed Comput.
Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
2021 — conf
Preface.
AAAI Spring Symposium: MLPS
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
2021 — ed.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021.
AAAI Spring Symposium: MLPS
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser
2021 J jnl
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry.
CoRR
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
2020 J jnl
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry.
CoRR
Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
2020 J jnl
Application of deep learning to large scale riverine flow velocity estimation.
CoRR
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
2020 J jnl
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning.
Remote. Sens.
Adam Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long
2020 J jnl
Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks.
CoRR
Sung Eun Kim, Yongwon Seo, Junshik Hwang, Hongkyu Yoon, Jonghyun Lee
2020 J jnl
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks.
CoRR
Sung Eun Kim, Hongkyu Yoon, Jonghyun Lee
2020 — conf
Preface.
AAAI Spring Symposium: MLPS
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
2020 — ed.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to - 25th, 2020.
AAAI Spring Symposium: MLPS
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
2019 J jnl
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels.
CoRR
Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
2016 J jnl
Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen-Loève expansion.
Numer. Linear Algebra Appl.
Arvind K. Saibaba, Jonghyun Lee, Peter K. Kitanidis