Jared Willard

16 papers A 4C 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Foundation Models for Environmental Science: A Survey of Emerging Frontiers.
CoRR
Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia
2024 J jnl
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators.
CoRR
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, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard
2024 J jnl
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators.
CoRR
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, Mark Risser, Shashank Subramanian, Jared Willard
2023 J jnl
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
ACM Comput. Surv.
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2023 A conf
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
SDM
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
2022 A conf
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling.
SDM
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
2022 J jnl
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
CoRR
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
2021 J jnl
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Trans. Data Sci.
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2021 A conf
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
SDM
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
2020 J jnl
Integrating Physics-Based Modeling with Machine Learning: A Survey.
CoRR
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2020 J jnl
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
CoRR
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020 J jnl
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR
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
2020 C conf
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.
IGARSS
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2019 A conf
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
SDM
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018 J jnl
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
CoRR
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018 J jnl
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR
Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar