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Jared Willard
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Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J Willard, X Jia, S Xu, M Steinbach, V Kumar
ACM Computing Surveys, 2022
817*2022
Process‐guided deep learning predictions of lake water temperature
JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ...
Water Resources Research 55 (11), 9173-9190, 2019
2882019
Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles
X Jia, J Willard, A Karpatne, J Read, J Zwart, M Steinbach, V Kumar
Proceedings of the 2019 SIAM international conference on data mining, 558-566, 2019
2812019
Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles
X Jia, J Willard, A Karpatne, JS Read, JA Zwart, M Steinbach, V Kumar
ACM/IMS Transactions on Data Science 2 (3), 1-26, 2021
2402021
Physics-guided recurrent graph model for predicting flow and temperature in river networks
X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ...
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
702021
Predicting water temperature dynamics of unmonitored lakes with meta‐transfer learning
JD Willard, JS Read, AP Appling, SK Oliver, X Jia, V Kumar
Water Resources Research 57 (7), e2021WR029579, 2021
652021
Physics guided recurrent neural networks for modeling dynamical systems: Application to monitoring water temperature and quality in lakes
X Jia, A Karpatne, J Willard, M Steinbach, J Read, PC Hanson, HA Dugan, ...
arXiv preprint arXiv:1810.02880, 2018
562018
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ...
Hydrological Processes 36 (4), e14565, 2022
352022
Integrating physics-based modeling with machine learning: A survey. arXiv
J Willard, X Jia, S Xu, M Steinbach, V Kumar
arXiv preprint arXiv:2003.04919, 2020
222020
Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)
JD Willard, JS Read, S Topp, GJA Hansen, V Kumar
Limnology and Oceanography Letters 7 (4), 287-301, 2022
192022
Physics-guided recurrent graph networks for predicting flow and temperature in river networks
X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ...
arXiv preprint arXiv:2009.12575, 2020
192020
Stream temperature predictions for river basin management in the Pacific Northwest and mid-Atlantic regions using machine learning
H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, ...
Water 14 (7), 1032, 2022
172022
Integrating scientific knowledge with machine learning for engineering and environmental systems. arXiv 2020
J Willard, X Jia, S Xu, M Steinbach, V Kumar
arXiv preprint arXiv:2003.04919, 2003
132003
Invertibility aware integration of static and time-series data: An application to lake temperature modeling
K Tayal, X Jia, R Ghosh, J Willard, J Read, V Kumar
Proceedings of the 2022 SIAM international conference on data mining (SDM …, 2022
82022
Time series predictions in unmonitored sites: A survey of machine learning techniques in water resources
JD Willard, C Varadharajan, X Jia, V Kumar
arXiv preprint arXiv:2308.09766, 2023
42023
Mini-Batch Learning Strategies for modeling long term temporal dependencies: a study in environmental applications
S Xu, A Khandelwal, X Li, X Jia, L Liu, J Willard, R Ghosh, K Cutler, ...
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
42023
Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning
J Willard, J Read, A Appling, S Oliver
U.S. Geological Survey data release, https://doi.org/10.5066/P9I00WFR, 2021
32021
Using machine learning to develop a predictive understanding of the impacts of extreme water cycle perturbations on river water quality
C Varadharajan, V Kumar, J Willard, J Zwart, J Sadler, H Weierbach, ...
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States); Univ …, 2021
32021
Physics guided recurrent neural networks for modeling dynamical systems: Application to monitoring water temperature and quality in lakes. arXiv, 1810.02880
X Jia, A Karpatne, J Willard, M Steinbach, J Read, PC Hanson, HA Dugan, ...
arXiv preprint arXiv:1810.02880, 2018
32018
Dataset for'Stream Temperature Predictions for River Basin Management in the Pacific Northwest and Mid-Atlantic Regions Using Machine Learning', Water 2022
H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, ...
Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2022
22022
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