Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. - Xiaowei Jia; Anuj Karpatne; Jared Willard; Michael S. Steinbach; Jordan S. Read; Paul C. Hanson; Hilary A. Dugan; Vipin Kumar 001 (CoRR, 2018)

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob Zwart; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2019)

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (IGARSS, 2020)

Integrating Physics-Based Modeling with Machine Learning: A Survey. - Jared Willard; Xiaowei Jia; Shaoming Xu; Michael S. Steinbach; Vipin Kumar 001 (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 001 (CoRR, 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 001 (CoRR, 2020)

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 001 (SDM, 2021)

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (Trans. Data Sci., 2021)

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. - Kshitij Tayal; Xiaowei Jia; Rahul Ghosh; Jared Willard; Jordan S. Read; Vipin Kumar 001 (SDM, 2022)

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. - Shaoming Xu; Ankush Khandelwal; Xiang Li; Xiaowei Jia; Licheng Liu; Jared Willard; Rahul Ghosh; Kelly Cutler; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (SDM, 2023)

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources. - Jared D. Willard; Charuleka Varadharajan; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2023)

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. - Jared Willard; Xiaowei Jia; Shaoming Xu; Michael S. Steinbach; Vipin Kumar 001 (ACM Comput. Surv., 2023)

Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction. - Jared D. Willard; Peter Harrington; Shashank Subramanian; Ankur Mahesh; Travis A. O'Brien; William D. Collins (CoRR, 2024)

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators. - Ankur Mahesh; William D. Collins; Boris Bonev; Noah D. Brenowitz; Yair Cohen; Peter Harrington; Karthik Kashinath; Thorsten Kurth; Joshua North; Travis A. O'Brien; Michael S. Pritchard; David Pruitt; et al. (CoRR, 2024)

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators. - Ankur Mahesh; William D. Collins; Boris Bonev; Noah D. Brenowitz; Yair Cohen; Joshua Elms; Peter Harrington; Karthik Kashinath; Thorsten Kurth; Joshua North; Travis A. O'Brien; Michael S. Pritchard; et al. (CoRR, 2024)

Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models. - Jared D. Willard; Fabio Ciulla; Helen Weierbach; Vipin Kumar 001; Charuleka Varadharajan (CoRR, 2024)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers. - Runlong Yu; Shengyu Chen; Yiqun Xie; Huaxiu Yao; Jared Willard; Xiaowei Jia (CoRR, 2025)