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2020 – today
- 2023
[j2]Teeratorn Kadeethum, John D. Jakeman
, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon:
Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems. IEEE Access 11: 62970-62985 (2023)- [i12]Jichao Bao, Hongkyu Yoon, Jonghyun Lee:
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models. CoRR abs/2310.00839 (2023) - [i11]Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Hongkyu Yoon:
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer. CoRR abs/2310.03770 (2023) - [i10]Teeratorn Kadeethum, Stephen J. Verzi, Hongkyu Yoon:
Efficient machine-learning surrogates for large-scale geological carbon and energy storage. CoRR abs/2310.07461 (2023) - 2022
- [j1]Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon:
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. Comput. Geosci. 167: 105212 (2022) - [i9]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:
Machine Learning in Heterogeneous Porous Materials. CoRR abs/2202.04137 (2022) - [i8]Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon:
Reduced order modeling with Barlow Twins self-supervised learning: Navigating the space between linear and nonlinear solution manifolds. CoRR abs/2202.05460 (2022) - [i7]Jan Niklas Fuhg, Arnav Karmarkar, Teeratorn Kadeethum, Hongkyu Yoon, Nikolaos Bouklas:
Deep Convolutional Ritz Method: Parametric PDE surrogates without labeled data. CoRR abs/2206.04675 (2022) - 2021
- [c2]Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi:
Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images. AAAI Spring Symposium: MLPS 2021 - [i6]Alexander Y. Sun, Hongkyu Yoon, Chung-Yan Shih, Zhi Zhong:
Applications of physics-informed scientific machine learning in subsurface science: A survey. CoRR abs/2104.04764 (2021) - [i5]Hongkyu Yoon, Pilwon Kim:
Neurodynamical Role of STDP in Storage and Retrieval of Associative Information. CoRR abs/2104.12249 (2021) - [i4]Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas:
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. CoRR abs/2107.11460 (2021) - [i3]Teeratorn Kadeethum, Dan O'Malley, Youngsoo Choi, Hari S. Viswanathan, Nikolaos Bouklas, Hongkyu Yoon:
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties. CoRR abs/2111.14984 (2021) - 2020
- [c1]Hongkyu Yoon, Darryl J. Melander, Stephen J. Verzi:
Permeability Prediction of Porous Media using Convolutional Neural Networks with Physical Properties. AAAI Spring Symposium: MLPS 2020 - [i2]Sung Eun Kim, Yongwon Seo, Junshik Hwang, Hongkyu Yoon, Jonghyun Lee:
Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks. CoRR abs/2006.13304 (2020) - [i1]Sung Eun Kim, Hongkyu Yoon, Jonghyun Lee:
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks. CoRR abs/2011.06776 (2020)
Coauthor Index
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