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Daniel Sanz-Alonso

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems

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Dec 18, 2024
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Inverse Problems and Data Assimilation: A Machine Learning Approach

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Oct 14, 2024
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Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet

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May 21, 2024
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Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration

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Jan 30, 2024
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Gaussian Process Regression under Computational and Epistemic Misspecification

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Dec 14, 2023
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Reduced-Order Autodifferentiable Ensemble Kalman Filters

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Jan 27, 2023
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Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization

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Aug 05, 2022
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Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning

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Jul 03, 2022
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A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors

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Nov 29, 2021
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Auto-differentiable Ensemble Kalman Filters

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Jul 19, 2021
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