Alison P. Appling

18 papers A* 4A 4Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Multi-Scale Graph Learning for Anti-Sparse Downscaling. AAAI Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2025	J	`jnl`	Multi-Scale Graph Learning for Anti-Sparse Downscaling. CoRR Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia
2023	J	`jnl`	Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR 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 P. 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
2023	J	`jnl`	Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 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
2022	A	`conf`	Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2022	J	`jnl`	Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang
2021	A	`conf`	Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. SDM Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021	A*	`conf`	Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. ICDM Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021	J	`jnl`	Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. CoRR Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia
2021	A*	`conf`	Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. ICDM Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson
2021	A*	`conf`	Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021	A	`conf`	Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM 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
2020	J	`jnl`	Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. CoRR Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2020	A	`conf`	Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. SDM Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
2020	J	`jnl`	Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR 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
2020	J	`jnl`	Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. CoRR Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar
2019	J	`jnl`	Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. CoRR Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne
2016	J	`jnl`	sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research. R J. Luke A. Winslow, Scott Chamberlain, Alison P. Appling, Jordan S. Read