Integrating physics-based modeling with machine learning: A survey J Willard, X Jia, S Xu, M Steinbach, V Kumar
arXiv preprint arXiv:2003.04919 1 (1), 1-34, 2020
573 2020 Integrating scientific knowledge with machine learning for engineering and environmental systems J Willard, X Jia, S Xu, M Steinbach, V Kumar
ACM Computing Surveys 55 (4), 1-37, 2022
515 2022 Physics-guided recurrent graph model for predicting flow and temperature in river networks X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ...
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
92 2021 Physics guided machine learning methods for hydrology A Khandelwal, S Xu, X Li, X Jia, M Stienbach, C Duffy, J Nieber, V Kumar
arXiv preprint arXiv:2012.02854, 2020
64 2020 Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ...
ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021
53 2021 Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L Liu, W Zhou, K Guan, B Peng, S Xu, J Tang, Q Zhu, J Till, X Jia, C Jiang, ...
Nature communications 15 (1), 357, 2024
46 2024 KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N L Liu, S Xu, J Tang, K Guan, TJ Griffis, MD Erickson, AL Frie, X Jia, T Kim, ...
Geoscientific model development 15 (7), 2839-2858, 2022
40 2022 Regionalization in a global hydrologic deep learning model: from physical descriptors to random vectors X Li, A Khandelwal, X Jia, K Cutler, R Ghosh, A Renganathan, S Xu, ...
Water Resources Research 58 (8), e2021WR031794, 2022
33 2022 Physics-guided recurrent graph networks for predicting flow and temperature in river networks X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ...
arXiv preprint arXiv:2009.12575, 2020
20 2020 Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems, arXiv J Willard, X Jia, S Xu, M Steinbach, V Kumar
arXiv preprint arXiv:2003.04919, 2020
15 2020 A deep transfer learning framework for mapping high spatiotemporal resolution LAI J Zhou, Q Yang, L Liu, Y Kang, X Jia, M Chen, R Ghosh, S Xu, C Jiang, ...
ISPRS Journal of Photogrammetry and Remote Sensing 206 (0924-2716), 30-48, 2023
14 2023 Physics guided machine learning methods for hydrology. arXiv A Khandelwal, S Xu, X Li, X Jia, M Stienbach, C Duffy, J Nieber, V Kumar
arXiv preprint arXiv:2012.02854, 2020
14 2020 Integrating scientific knowledge with machine learning for engineering and environmental systems. arXiv 2020 J Willard, X Jia, S Xu, M Steinbach, V Kumar
arXiv preprint arXiv:2003.04919, 2003
13 2003 Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications S Xu, A Khandelwal, X Li, X Jia, L Liu, J Willard, R Ghosh, K Cutler, ...
Proceedings of the 2023 SIAM international conference on data mining (SDM …, 2023
7 2023 Estimating the autotrophic and heterotrophic respiration in the us crop fields using knowledge guided machine learning LIU Licheng, W Zhou, Z Jin, J Tang, X Jia, C Jiang, K Guan, B Peng, S Xu, ...
Authorea Preprints, 2022
3 2022 Knowledge-based artificial intelligence for agroecosystem carbon budget and crop yield estimation LIU Licheng, W Zhou, K Guan, B Peng, C Jiang, J Tang, S Wang, R Grant, ...
Authorea Preprints, 2023
2 2023 Knowledge-based Artificial Intelligence for Agroecosystem Carbon Budget and Crop Yield Estimation L LIU, W Zhou, K Guan, B Peng, C Jiang, J Tang, S Wang, R Grant, ...
ESS Open Archive eprints 105, essoar. 10509206, 2023
2 2023 Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling S Xu, A Khandelwal, A Renganathan, V Kumar
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
1 2024 Estimating the Autotrophic and Heterotrophic Respiration in the US Crop Fields using Knowledge Guided Machine Learning L LIU, W Zhou, Z Jin, J Tang, X Jia, C Jiang, K Guan, B Peng, S Xu, ...
AGU Fall Meeting Abstracts 2021, B25O-13, 2021
1 2021 Hierarchical Conditional Multi-Task Learning for Streamflow Modeling S Xu, A Renganathan, A Khandelwal, R Ghosh, X Li, L Liu, K Tayal, ...
arXiv preprint arXiv:2410.14137, 2024
2024 
Vipin KumarUniversity of MinnesotaE-mail confirmado em umn.edu