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Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.

X. Jia, J. Willard, A. Karpatne, J. Read, J. Zwart, M. Steinbach, and V. Kumar. IGARSS, page 3494-3496. IEEE, (2020)

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Jared Sonnicksen

Jared Wicks

Jared Miller

Jared Dulmage

Margarita Willard

Other publications of authors with the same name

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, and V. Kumar. CoRR, (2018)Integrating Physics-Based Modeling with Machine Learning: A Survey.J. Willard, X. Jia, S. Xu, M. Steinbach, and V. Kumar. CoRR, (2020)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, M. Steinbach, J. Read and 1 other author(s). SDM, page 612-620. SIAM, (2021)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, and V. Kumar. SDM, page 702-710. SIAM, (2022)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, P. Hanson, H. Dugan, and V. Kumar. CoRR, (2018)Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.X. Jia, J. Willard, A. Karpatne, J. Read, J. Zwart, M. Steinbach, and V. Kumar. Trans. Data Sci., 2 (3): 20:1-20:26 (2021)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, M. Steinbach, C. Duffy and 2 other author(s). SDM, page 649-657. SIAM, (2023)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, M. Steinbach, J. Read and 1 other author(s). CoRR, (2020)Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.X. Jia, J. Willard, A. Karpatne, J. Read, J. Zwart, M. Steinbach, and V. Kumar. CoRR, (2020)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, M. Steinbach, C. Duffy and 2 other author(s). CoRR, (2022)

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Disambiguation of "Willard, Jared"

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Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.

Please choose a person to relate this publication to

Jared Sonnicksen

Jared Wicks

Jared Miller

Jared Dulmage

Margarita Willard

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Willard, Jared"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.

Please choose a person to relate this publication to

Jared Sonnicksen

Jared Wicks

Jared Miller

Jared Dulmage

Margarita Willard

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.