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Daniel Sanz-Alonso
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Reduced-Order Autodifferentiable Ensemble Kalman Filters


Jan 27, 2023
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett

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Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization


Aug 05, 2022
Omar Al Ghattas, Daniel Sanz-Alonso

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Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning


Jul 03, 2022
Nicolas García Trillos, Daniel Sanz-Alonso, Ruiyi Yang

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* To appear in Notices of the AMS 
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A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors


Nov 29, 2021
Shiv Agrawal, Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang

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Auto-differentiable Ensemble Kalman Filters


Jul 19, 2021
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett

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Posterior Contraction Rates for Graph-Based Semi-Supervised Classification


Aug 26, 2020
Daniel Sanz-Alonso, Ruiyi Yang

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Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis


Apr 06, 2019
Nicolas Garcia Trillos, Daniel Sanz-Alonso, Ruiyi Yang

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Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning


Jan 29, 2019
Nicolas Garcia Trillos, Zach Kaplan, Daniel Sanz-Alonso

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