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Jacob Zwart
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2020 – today
- 2024
- [c9]Erhu He, Yiqun Xie, Alexander Sun
, Jacob Zwart, Jie Yang
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. AAAI 2024: 22087-22095 - 2023
- [j2]Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65(8): 3223-3250 (2023) - 2022
- [c8]Shengyu Chen, Jacob A. Zwart, Xiaowei Jia:
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. KDD 2022: 2752-2761 - 2021
- [j1]Xiaowei Jia
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. 2(3): 20:1-20:26 (2021) - [c7]Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. ICDM 2021: 11-20 - [c6]Xiaowei Jia, Yiqun Xie, Sheng Li
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM 2021: 270-279 - [c5]Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. ICDM 2021: 1024-1029 - [c4]Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM 2021: 612-620 - [c3]Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. SDM 2021: 621-629 - [i5]Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia:
Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. CoRR abs/2110.04959 (2021) - 2020
- [c2]Xiaowei Jia, Jared Willard
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS 2020: 3494-3496 - [i4]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR abs/2001.11086 (2020) - [i3]Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar:
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR abs/2009.12575 (2020) - [i2]Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. CoRR abs/2010.14000 (2020)
2010 – 2019
- 2019
- [c1]Xiaowei Jia, Jared Willard
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM 2019: 558-566 - 2018
- [i1]Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR abs/1810.13075 (2018)
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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