Showing 1–14 of 14 results
/ Date/ Name
Oct 5, 2018Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In LakesMar 10, 2020Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental SystemsNov 10, 2020Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer LearningAug 18, 2023Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water ResourcesApr 30, 2024Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather PredictionOct 23, 2024Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature ModelsOct 31, 2018Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature ProfilesSep 26, 2020Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River NetworksApr 8, 2026Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure PlanningJan 28, 2020Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature ProfilesAug 2, 2024Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural OperatorsOct 15, 2022Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applicationsAug 6, 2024Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural OperatorsApr 5, 2025Foundation Models for Environmental Science: A Survey of Emerging Frontiers