Jared Willard

According to our database, Jared Willard authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Charuleka Varadharajan

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, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

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, Mark Risser, Shashank Subramanian, Jared Willard

CoRR, 2024

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

2023

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.

Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar

ACM Comput. Surv., 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

CoRR, 2023

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

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

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

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

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

Trans. Data Sci., 2021

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

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

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

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

CoRR, 2020

Integrating Physics-Based Modeling with Machine Learning: A Survey.

Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar

CoRR, 2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

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

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018

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

CoRR, 2018