Jonghyun Lee

Orcid: 0000-0002-3646-2915

Affiliations:
  • University of Hawaii at Manoa, Water Resources Research Center, Department of Civil and Environmental Engineering, Honolulu, HI, USA
  • Stanford University, Stanford, CA, USA (PhD 2014)


According to our database1, Jonghyun Lee authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-fidelity Hamiltonian Monte Carlo.
CoRR, 2024

2023
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models.
CoRR, 2023

2022
Elastic Full-Waveform Inversion Using Both the Multiparametric Approximate Hessian and the Discrete Cosine Transform.
IEEE Trans. Geosci. Remote. Sens., 2022

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

PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication.
J. Parallel Distributed Comput., 2021

Bayesian Level Set Approach for Inverse Problems with Piecewise Constant Reconstructions.
CoRR, 2021

Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry.
CoRR, 2021

Preface.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

Deep Learning-based Fast Solver of the Shallow Water Equations.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning.
Remote. Sens., 2020

Application of deep learning to large scale riverine flow velocity estimation.
CoRR, 2020

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry.
CoRR, 2020

Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks.
CoRR, 2020

Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks.
CoRR, 2020

2019
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels.
CoRR, 2019

2016
Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen-Loève expansion.
Numer. Linear Algebra Appl., 2016


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