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ORCIDAlison P. Appling
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2020 – today
- 2025
[c8]Yingda Fan, Runlong Yu
, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia:
Multi-Scale Graph Learning for Anti-Sparse Downscaling. AAAI 2025: 27969-27977- [i8]Yingda Fan, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, Xiaowei Jia:
Multi-Scale Graph Learning for Anti-Sparse Downscaling. CoRR abs/2505.01948 (2025) - 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) - [d4]Jacob Zwart, Jeremy Diaz, Scott Hamshaw, Samantha Oliver, Jesse C. Ross, Margaux Sleckman, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Jordan S. Read, Jeffrey M. Sadler, Theodore Thompson, William Watkins, Ellie White:
Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations. Zenodo, 2023
- [i7]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:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - 2022
- [c7]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM 2022: 91-99 - [i6]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR abs/2202.05714 (2022) - 2021
- [c6]Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson:
Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature. ICDM 2021: 11-20 - [c5]Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM 2021: 270-279 - [c4]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. ICDM 2021: 1024-1029 - [c3]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 Model for Predicting Flow and Temperature in River Networks. SDM 2021: 612-620 - [c2]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 - [d3]Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read:
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation. Version 0.9.0. Zenodo, 2021 [all versions] - [d2]Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read:
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation. Version 0.9.0. Zenodo, 2021 [all versions] - [d1]Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read:
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation. Version 1.0.0. Zenodo, 2021 [all versions] - [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
- [c1]Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne:
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. SDM 2020: 532-540 - [i4]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) - [i3]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) - [i2]Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar:
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. CoRR abs/2011.05369 (2020)
2010 – 2019
- 2019
- [i1]Arka Daw, R. Quinn Thomas, Cayelan C. Carey, Jordan S. Read, Alison P. Appling, Anuj Karpatne:
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling. CoRR abs/1911.02682 (2019) - 2016
- [j1]Luke A. Winslow, Scott Chamberlain, Alison P. Appling, Jordan S. Read:
sbtools: A Package Connecting R to Cloud-based Data for Collaborative Online Research. R J. 8(1): 387 (2016)
Coauthor Index
aka: Samantha K. Oliver
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