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Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.

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Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling., , , , , and . SDM, page 702-710. SIAM, (2022)Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks., , , , , , , , , and 1 other author(s). SDM, page 612-620. SIAM, (2021)Integrating Physics-Based Modeling with Machine Learning: A Survey., , , , and . CoRR, (2020)Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2018)Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes., , , , , , , and . CoRR, (2018)Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks., , , , , , , , , and 1 other author(s). CoRR, (2020)Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles., , , , , , and . 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., , , , , , , , , and 2 other author(s). SDM, page 649-657. SIAM, (2023)Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles., , , , , , and . CoRR, (2020)Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications., , , , , , , , , and 2 other author(s). CoRR, (2022)