Picture for Daniel Sanz-Alonso

Daniel Sanz-Alonso

Inverse Problems and Data Assimilation: A Machine Learning Approach

Add code
Oct 14, 2024
Viaarxiv icon

Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet

Add code
May 21, 2024
Viaarxiv icon

Bayesian Optimization with Noise-Free Observations: Improved Regret Bounds via Random Exploration

Add code
Jan 30, 2024
Viaarxiv icon

Gaussian Process Regression under Computational and Epistemic Misspecification

Add code
Dec 14, 2023
Viaarxiv icon

Reduced-Order Autodifferentiable Ensemble Kalman Filters

Add code
Jan 27, 2023
Viaarxiv icon

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

Add code
Aug 05, 2022
Viaarxiv icon

Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning

Add code
Jul 03, 2022
Figure 1 for Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning
Figure 2 for Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning
Viaarxiv icon

A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors

Add code
Nov 29, 2021
Figure 1 for A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Figure 2 for A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Figure 3 for A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Figure 4 for A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
Viaarxiv icon

Auto-differentiable Ensemble Kalman Filters

Add code
Jul 19, 2021
Figure 1 for Auto-differentiable Ensemble Kalman Filters
Figure 2 for Auto-differentiable Ensemble Kalman Filters
Figure 3 for Auto-differentiable Ensemble Kalman Filters
Figure 4 for Auto-differentiable Ensemble Kalman Filters
Viaarxiv icon

Posterior Contraction Rates for Graph-Based Semi-Supervised Classification

Add code
Aug 26, 2020
Viaarxiv icon