Hongkyu Yoon - RankMe

16 papers Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon
2023	J	`jnl`	Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems. IEEE Access Teeratorn Kadeethum, John D. Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2023	J	`jnl`	Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon
2023	J	`jnl`	Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models. CoRR Jichao Bao, Hongkyu Yoon, Jonghyun Lee
2022	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2022	J	`jnl`	Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data. CoRR Jan Niklas Fuhg, Arnav Karmarkar, Teeratorn Kadeethum, Hongkyu Yoon, Nikolaos Bouklas
2022	J	`jnl`	Machine Learning in Heterogeneous Porous Materials. CoRR Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki
2022	J	`jnl`	Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon
2021	J	`jnl`	Applications of physics-informed scientific machine learning in subsurface science: A survey. CoRR Alexander Y. Sun, Hongkyu Yoon, Chung-Yan Shih, Zhi Zhong
2021	J	`jnl`	Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon
2021	—	`conf`	Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images. AAAI Spring Symposium: MLPS Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi
2021	J	`jnl`	Neurodynamical Role of STDP in Storage and Retrieval of Associative Information. CoRR Hongkyu Yoon, Pilwon Kim
2021	J	`jnl`	Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. CoRR Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas
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`	Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties. AAAI Spring Symposium: MLPS Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi