activity
20152022
most citedA Survey of Monte Carlo Methods for Parameter Estimation

196 citations · 583 across the 13 of their papers we have counts for

collaborators

16 papers

cond-mat.mtrl-sci20221 cited

Polycrystalline MnBi as a transverse thermoelectric material

Alessandro Sola, Elena Olivetti, Luca Martino +1

To assess the potential of polycrystalline MnBi as a transverse thermoelectric material, we have experimentally investigated its anomalous Nernst effect (ANE) by means of the heat…

cs.LG20227 cited

Inference over radiative transfer models using variational and expectation maximization methods

Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino +3

Earth observation from satellites offers the possibility to monitor our planet with unprecedented accuracy. Radiative transfer models (RTMs) encode the energy transfer through the…

stat.ML2022

Optimality in Noisy Importance Sampling

Fernando Llorente, Luca Martino, Jesse Read +1

In this work, we analyze the noisy importance sampling (IS), i.e., IS working with noisy evaluations of the target density. We present the general framework and derive optimal prop…

stat.CO2021196 cited

A Survey of Monte Carlo Methods for Parameter Estimation

D. Luengo, L. Martino, M. Bugallo +2

Statistical signal processing applications usually require the estimation of some parameters of interest given a set of observed data. These estimates are typically obtained either…

stat.CO2021

Automatic tempered posterior distributions for Bayesian inversion problems

L. Martino, F. Llorente, E. Curbelo +2

We propose a novel adaptive importance sampling scheme for Bayesian inversion problems where the inference of the variables of interest and the power of the data noise is split. Mo…

cs.CE2021

Compressed particle methods for expensive models with application in Astronomy and Remote Sensing

Luca Martino, Víctor Elvira, Javier López-Santiago +1

In many inference problems, the evaluation of complex and costly models is often required. In this context, Bayesian methods have become very popular in several fields over the las…