Martino, Luca luca.martino@urjc.es

Actividades

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

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

Joint Gaussian Processes for Biophysical Parameter Retrieval

  • Heestermans Svendsen, Daniel
  • Martino, Luca
  • Campos-Taberner, Manuel
  • Javier Garcia-Haro, Francisco
  • Camps-Valls, Gustau;

Ieee Transactions On Geoscience And Remote Sensing (p. 1718-1727) - 1/3/2018

10.1109/tgrs.2017.2767205 Ver en origen

  • ISSN 01962892

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

Adaptive independent sticky MCMC algorithms

  • Martino, Luca
  • Casarin, Roberto
  • Leisen, Fabrizio
  • Luengo, David;

Eurasip Journal On Advances In Signal Processing - 1/12/2018

10.1186/s13634-017-0524-6 Ver en origen

  • ISSN 16876172

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

Parsimonious adaptive rejection sampling

  • Martino, L.;

Electronics Letters (p. 1115-1116) - 3/8/2017

10.1049/el.2017.1711 Ver en origen

  • ISSN 00135194

Adaptive Importance Sampling: The past, the present, and the future

  • Bugallo M
  • Elvira V
  • Martino L
  • Luengo D
  • Miguez J
  • Djuric P

Ieee Signal Processing Magazine (p. 60-79) - 1/7/2017

10.1109/msp.2017.2699226 Ver en origen

  • EISSN 1558-0792
  • ISSN 10535888

Layered adaptive importance sampling

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

Statistics And Computing (p. 599-623) - 1/5/2017

10.1007/s11222-016-9642-5 Ver en origen

  • ISSN 09603174

Issues in the Multiple Try Metropolis mixing

  • Martino, L.
  • Louzada, F.;

Computational Statistics (p. 239-252) - 1/3/2017

10.1007/s00180-016-0643-9 Ver en origen

  • ISSN 09434062

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

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs

  • Rey S
  • Tenorio V
  • Rozada S
  • Martino L
  • Marques AG

28th European Signal Processing Conference (Eusipco 2020) (p. 855-859) - 1/1/2021

10.23919/eusipco47968.2020.9287748 Ver en origen

  • ISSN 22195491

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

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

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals

  • Rey, S
  • Tenorio, V
  • Rozada, S
  • Martino, L
  • Marques, AG

Conference Record Of The Asilomar Conference On Signals, Systems And Computers (p. 225-229) - 1/1/2019

10.1109/ieeeconf44664.2019.9048908 Ver en origen

  • ISSN 10586393

Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation

  • Elvira V
  • Closas P
  • Martino L

28th European Signal Processing Conference (Eusipco 2020) - 1/1/2019

10.23919/eusipco.2019.8902662 Ver en origen

  • ISSN 22195491

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

A Comparison of Clipping Strategies for Importance Sampling

  • Martino, L.
  • Elvira, V
  • Miguez, J.
  • Artes-Rodriguez, A.
  • Djuric, P. M.;

2018 IEEE Statistical Signal Processing Workshop, SSP 2018 (p. 558-562) - 1/1/2018

Editor: IEEE Computer Society.

https://doi.org/10.1109/ssp.2018.8450722 Ver en origen

In Search for Improved Auxiliary Particle Filters

  • Elvira, Victor
  • Martino, Luca
  • Bugallo, Monica F.
  • Djuric, Petar M.;

28th European Signal Processing Conference (Eusipco 2020) (p. 1637-1641) - 1/1/2018

  • ISSN 20761465
  • iMarina

MULTIOUTPUT AUTOMATIC EMULATOR FOR RADIATIVE TRANSFER MODELS

  • Heestermans Svendsen, Daniel
  • Martino, Luca
  • Vicent, Jorge
  • Camps-Valls, Gustau;

Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium (p. 4019-4022) - 1/1/2018

  • ISSN 21536996
  • 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