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Luca Martino

Universidad Rey Juan Carlos (URJC)

53 papers hereh-index 333.8k citations142 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author23
  • middle author23
  • last author4

Across the 52 of 53 papers where every author was matched, so the position is known.

fields
  • stat.CO32
  • cs.LG7
  • eess.SP3
  • stat.ME3
  • stat.ML3
  • cs.CE2
affiliations
  • Universidad Rey Juan Carlos (URJC)
Homepage
same name
  • Luca Martino — 2 papers, h 3
  • Luca Martino — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedEffective Sample Size for Importance Sampling based on discrepancy measures

203 citations · 2.2k across the 52 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

stat.ML2017★ 57 cited

Joint Gaussian Processes for Biophysical Parameter Retrieval

Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner +2

Solving inverse problems is central to geosciences and remote sensing. Radiative transfer models (RTMs) represent mathematically the physical laws which govern the phenomena in rem…

stat.CO2017

Parsimonious Adaptive Rejection Sampling

Luca Martino

Monte Carlo (MC) methods have become very popular in signal processing during the past decades. The adaptive rejection sampling (ARS) algorithms are well-known MC technique which d…

stat.ME2017★ 24 cited

Metropolis Sampling

Luca Martino, Victor Elvira

Monte Carlo (MC) sampling methods are widely applied in Bayesian inference, system simulation and optimization problems. The Markov Chain Monte Carlo (MCMC) algorithms are a well-k…

stat.CO2017★ 66 cited

Group Importance Sampling for Particle Filtering and MCMC

L. Martino, V. Elvira, G. Camps-Valls

Bayesian methods and their implementations by means of sophisticated Monte Carlo techniques have become very popular in signal processing over the last years. Importance Sampling (…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.