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Martino, Luca luca.martino@urjc.es

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación / Universidad Rey Juan Carlos

Actividades

Open Access

Deep importance sampling based on regression for model inversion and emulation

  • Llorente, F.
  • Martino, L.
  • Delgado-Gomez, D.
  • Camps-Valls, G.;

DIGITAL SIGNAL PROCESSING (p. 1-22) - 1/9/2021

https://doi.org/10.1016/j.dsp.2021.103104 Ver en origen

  • EISSN 1095-4333
  • ISSN 1051-2004

Efficient linear fusion of partial estimators

  • Luengo, David
  • Martino, Luca
  • Elvira, Victor
  • Bugallo, Monica;

Digital Signal Processing (p. 265-283) - 1/7/2018

10.1016/j.dsp.2018.03.006 Ver en origen

  • ISSN 10512004

Orthogonal parallel MCMC methods for sampling and optimization

  • Martino, L.
  • Elvira, V.
  • Luengo, D.
  • Corander, J.
  • Louzada, F.;

Digital Signal Processing (p. 64-84) - 1/11/2016

10.1016/j.dsp.2016.07.013 Ver en origen

  • ISSN 10512004

The Recycling Gibbs sampler for efficient learning

  • Martino, Luca
  • Elvira, Victor
  • Camps-Valls, Gustau;

Digital Signal Processing (p. 1-13) - 1/3/2018

10.1016/j.dsp.2017.11.012 Ver en origen

  • ISSN 10512004

A review of multiple try MCMC algorithms for signal processing

  • Martino, Luca;

Digital Signal Processing (p. 134-152) - 1/4/2018

10.1016/j.dsp.2018.01.004 Ver en origen

  • ISSN 10512004

Cooperative parallel particle filters for online model selection and applications to urban mobility

  • Martino, Luca
  • Read, Jesse
  • Elvira, Victor
  • Louzada, Francisco;

Digital Signal Processing (p. 172-185) - 1/1/2017

10.1016/j.dsp.2016.09.011 Ver en origen

  • ISSN 10512004

Group Importance Sampling for particle filtering and MCMC

  • Martino, Luca
  • Elvira, Victor
  • Camps-Valls, Gustau;

Digital Signal Processing (p. 133-151) - 1/11/2018

10.1016/j.dsp.2018.07.007 Ver en origen

  • ISSN 10512004

A fast universal self-tuned sampler within Gibbs sampling

  • Martino, L.
  • Yang, H.
  • Luengo, D.
  • Kanniainen, J.
  • Corander, J.;

Digital Signal Processing (p. 68-83) - 1/12/2015

10.1016/j.dsp.2015.04.005 Ver en origen

  • ISSN 10512004

Adaptive importance sampling in signal processing

  • Bugallo, Monica F.
  • Martino, Luca
  • Corander, Jukka;

Digital Signal Processing (p. 36-49) - 1/12/2015

10.1016/j.dsp.2015.05.014 Ver en origen

  • ISSN 10512004

Universal and automatic elbow detection for learning the effective number of components in model selection problems

  • Morgado, Eduardo
  • Martino, Luca
  • San Millan-Castillo, Roberto;

Digital Signal Processing - 15/6/2023

10.1016/j.dsp.2023.104103 Ver en origen

  • ISSN 10512004

Este/a investigador/a no tiene libros.

Introduction to Africana Demography Lessons from Founders E. Franklin Frazier, WEB Du Bois, and the Atlanta School of Sociology Introduction

  • Martin, Lori Latrice;

Studies In Critical Social Sciences (p. 1-21) - 1/1/2021

10.1163/9789004433168_002 Ver en origen

  • ISSN 15734234

On the computation of marginal likelihood via mcmc for model selection and hypothesis testing

  • Llorente F
  • Martino L
  • Delgado D
  • López-Santiago J

(EUSIPCO 2020) 2020 28th European Signal Processing Conference - Virtual Conference<br/> (p. 2373-2377) - 1/1/2021

Editor: IEEE.THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC

https://doi.org/10.23919/eusipco47968.2020.9287757 Ver en origen

  • ISSN 22195491

AN ADAPTIVE ACCEPT/REJECT SAMPLING ALGORITHM FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 (p. 45-48) - 1/1/2009

10.1109/ssp.2009.5278644 Ver en origen

PARTICLE GROUP METROPOLIS METHODS FOR TRACKING THE LEAF AREA INDEX

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

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 5865-5869) - 1/1/2020

10.1109/icassp40776.2020.9053962 Ver en origen

  • ISSN 15206149

A NOVEL REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 2921-2924) - 1/1/2009

10.1109/icassp.2009.4960235 Ver en origen

  • ISSN 15206149

ADAPTIVE SEQUENTIAL INTERPOLATOR USING ACTIVE LEARNING FOR EFFICIENT EMULATION OF COMPLEX SYSTEMS

  • Martino, L
  • Svendsen, DH
  • Vicent, J
  • Camps-Valls, G

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 3577-3581) - 1/1/2020

10.1109/icassp40776.2020.9053372 Ver en origen

  • ISSN 15206149

Parallel interacting Markov adaptive importance sampling

  • LUENGO GARCIA, DAVID

2015 23rd European Signal Processing Conference, Eusipco 2015 (p. 499-503) - 22/12/2015

10.1109/eusipco.2015.7362433 Ver en origen

  • ISSN 20761465

ALTERNATIVE EFFECTIVE SAMPLE SIZE MEASURES FOR IMPORTANCE SAMPLING

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

WEIGHTING A RESAMPLED PARTICLE IN SEQUENTIAL MONTE CARLO

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

Population Monte Carlo schemes with reduced path degeneracy

  • Elvira V
  • Martino L
  • Luengo D
  • Bugallo M

2017 Ieee 7th International Workshop On Computational Advances In Multi-Sensor Adaptive Processing, Camsap 2017 (p. 1-5) - 9/3/2018

10.1109/camsap.2017.8313090 Ver en origen

DISTRIBUTED PARTICLE METROPOLIS-HASTINGS SCHEMES

  • Martino, Luca
  • Elvira, Victor
  • Camps-Valls, Gustau;

2018 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) (p. 553-557) - 1/1/2018

  • iMarina

Adaptive quadrature schemes for Bayesian inference via active learning

  • Fernandez, Fernando Llorente
  • Martino, Luca
  • Elvira, Victor
  • Delgado, David
  • Lopez-Santiago, Javier;

IEEE Access (p. 208462-208483) - 1/12/2020

Editor: UNIVERSIDAD CARLOS III DE MADRID

https://doi.org/10.1109/access.2020.3038333 Ver en origen

  • EISSN 2169-3536
  • ISSN 21693536

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 16:41