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20162026
most citedLocal Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis

8 citations · 19 across the 10 of their papers we have counts for

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5 papers · 1 filter

math.PR2025

Sharp Concentration of Simple Random Tensors II: Asymmetry

Jiaheng Chen, Daniel Sanz-Alonso

This paper establishes sharp concentration inequalities for simple random tensors. Our theory unveils a phenomenon that arises only for asymmetric tensors of order when…

math.PR2025

Sharp Concentration of Simple Random Tensors

Omar Al-Ghattas, Jiaheng Chen, Daniel Sanz-Alonso

This paper establishes sharp dimension-free concentration inequalities and expectation bounds for the deviation of the sum of simple random tensors from its expectation. As part of…

math.PR2018

Spatial extreme values: variational techniques and stochastic integrals

Nicolas Garcia Trillos, Ryan Murray, Daniel Sanz-Alonso

This work employs variational techniques to revisit and expand the construction and analysis of extreme value processes. These techniques permit a novel study of spatial statistics…

math.PR20171 cited

Continuum Limit of Posteriors in Graph Bayesian Inverse Problems

Nicolas Garcia Trillos, Daniel Sanz-Alonso

We consider the problem of recovering a function input of a differential equation formulated on an unknown domain . We assume to have access to a discrete domain $M_n=\{x_1, \do…

math.PR2016

Gaussian Approximations of Small Noise Diffusions in Kullback-Leibler Divergence

Daniel Sanz-Alonso, Andrew M. Stuart

We study Gaussian approximations to the distribution of a diffusion. The approximations are easy to compute: they are defined by two simple ordinary differential equations for the…