Alison P. Appling

According to our database, Alison P. Appling authored at least 12 papers between 2016 and 2023.

Collaborative distances:

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

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

Differentiable modeling to unify machine learning and physical models and advance Geosciences.

Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson

CoRR, 2023

2022

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature.

Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

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

Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning.

Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar

CoRR, 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

Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling.

Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2016

sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research.

Luke A. Winslow, Scott Chamberlain, Alison P. Appling, Jordan S. Read

R J., 2016