Samantha Oliver

According to our database, Samantha Oliver authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

Evaluation of daily stream temperature predictions (1979-2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm.

Jeremy Diaz, Samantha Oliver, Galen Gorski

Environ. Model. Softw., 2025

2023

Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations.

Jacob Zwart, Jeremy Diaz, Scott Hamshaw, Samantha Oliver, Jesse C. Ross, Margaux Sleckman, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Jordan S. Read, Jefferey Sadler, Theodore Thompson, William Watkins, Ellie White

Dataset, February, 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

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

Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.

Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read

Dataset, December, 2021

Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.

Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read

Dataset, August, 2021

Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.

Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read

Dataset, July, 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