Jacob Zwart

According to our database, Jacob Zwart authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.

Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia

CoRR, 2024

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.

Erhu He, Yiqun Xie, Alexander Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Physics-guided machine learning from simulated data with different physical parameters.

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

Knowl. Inf. Syst., 2023

2022

Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks.

Shengyu Chen, Jacob A. Zwart, Xiaowei Jia

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.

Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar

Trans. Data Sci., 2021

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.

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

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks.

Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.

Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read

Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.

Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia

Proceedings of the IEEE International Conference on Data Mining, 2021

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature.

Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.

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

CoRR, 2020

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.

Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.

Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019