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Dan Lu

Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models

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Oct 24, 2024
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ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction

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Oct 16, 2024
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A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics

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Jul 16, 2024
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ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability

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Apr 23, 2024
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Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation

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Mar 31, 2024
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DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

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Oct 11, 2023
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Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions

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Jul 05, 2023
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Multi-module based CVAE to predict HVCM faults in the SNS accelerator

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Apr 20, 2023
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PI3NN: Prediction intervals from three independently trained neural networks

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Aug 05, 2021
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A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization

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Feb 07, 2020
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