| Coupling ensemble smoother and deep learning with generative adversarial networks to deal with non-Gaussianity in flow and transport data assimilation J Bao, L Li, F Redoloza Journal of Hydrology 590, 125443, 2020 | 42 | 2020 |
| Variational autoencoder or generative adversarial networks? A comparison of two deep learning methods for flow and transport data assimilation J Bao, L Li, A Davis Mathematical Geosciences 54 (6), 1017-1042, 2022 | 21 | 2022 |
| Soil hydraulic parameters estimation using ground penetrating radar data via ensemble smoother with multiple data assimilation F Cui, J Bao, Z Cao, L Li, Q Zheng Journal of hydrology 583, 124552, 2020 | 15 | 2020 |
| Soil Hydraulic Parameters Estimation Using GPR Data via ES-MDA L Li, J Bao, Z Cao, F Cui AGU Fall Meeting Abstracts 2019, H43F-2047, 2019 | 1 | 2019 |
| Characterizing Carbon Storage System Using Patch Diffusion Model and Bayesian Inversion J Bao, JH Lee, H Yoon AGU23, 2023 | | 2023 |
| Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models J Bao, H Yoon, J Lee arXiv preprint arXiv:2310.00839, 2023 | | 2023 |
| Coupling Self-Attention Generative Adversarial Network and Bayesian Inversion for Carbon Storage System J Bao, J Lee, H Yoon 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023 | | 2023 |
| Subsurface Characterization Using Bayesian Deep Generative Prior-Based Inverse Modeling for Utah FORGE Enhanced Geothermal System J Bao, J Lee, H Yoon, L Pyrak-Nolte ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2023-0834, 2023 | | 2023 |
| Subsurface Characterization using Deep Generative Adversarial Networks with Ensemble-based Optimization. J Bao, H Yoon, J Lee Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Subsurface Characterization using Deep Generative Adversarial Networks in a Bayesian Inverse Modeling J Bao, H Yoon, JH Lee AGU Fall Meeting Abstracts 2022, H11J-02, 2022 | | 2022 |
| CO2 Storage Site Characterization using Deep Generative Models. J Bao, H Yoon, JH Lee Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Physics-based Deep Learning Driven CO2 Flow Modeling and Data Assimilation for Real-Time Forecasting. J Bao, JH Lee, H Yoon Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Coupling Ensemble Smoother and Deep Learning with Generative Adversarial Networks for Inversion of Channelized Aquifers L Li, J Bao AGU Fall Meeting Abstracts 2021, H13B-05, 2021 | | 2021 |
| Geothermal Reservoir Characterization using Deep Learning Based Inversion Approach J Bao, J Lee, H Yoon AGU Fall Meeting Abstracts 2021, H15O-1217, 2021 | | 2021 |
