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Likelihood-Weighted Active Selection of Training Data for Improved Extreme Weather Event Prediction in Climate Models
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Nonmetric Multidimensional Scaling: A Numerical Method
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A one-dimensional model for dispersive wave turbulence
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
inferredcites →https://doi.org/10.1016/j.apor.2025.104439openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.cma.2024.116760openalex-snapshot
Quality measures for the evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
inferredcites →https://doi.org/10.1016/j.jcp.2020.109901openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jcp.2022.111902openalex-snapshot
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons
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inferredcites →https://doi.org/10.1016/j.physd.2013.01.003openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.physd.2014.04.012openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.physrep.2004.04.002openalex-snapshot
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Learning physics-based models from data: perspectives from inverse problems and model reduction
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A digital twin of Earth for the green transition
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Increasing probability of record-shattering climate extremes
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Ambitious partnership needed for reliable climate prediction
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NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators
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Economic risks of climate change: an American prospectus
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