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Publications

Journal papers

  1. J. Vicent, L. Martino, J. Verrelst, G. Camps-Valls, Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models, IEEE Transactions on Geoscience and Remote Sensing, Volume 61, Pages 1-10, 2023. Art. number 5519210    DOI: 10.1109/TGRS.2023.3300460

  2. V. Elvira, E. Chouzenoux, O. D. Akyildiz, L. Martino, Gradient-based Adaptive Importance Samplers, Journal of the Franklin Institute, Volume 360, Number 13, Pages 9490-9514, 2023. arXiv:2210.10785,

  3. L. Martino, R. San Millan-Castillo, E. Morgado, "Spectral information criterion for automatic elbow detection", Expert Systems With Applications, Volume 231, 2023. 120705 viXra:2209.0123    DOI:10.1016/j.eswa.2023.120705

  4. E. Morgado, L. Martino, R. San Millan-Castillo, "Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems", Digital Signal Processing, Volume 140, 2023. 104103 viXra:2209.0132    DOI:0.1016/j.dsp.2023.104103

  5. D. Madruga, M. M. Garcia, L. Martino, H. Hassan, G. Elayat, L. Ghali, L. Ceballos. "Positive correlational shift between crevicular antimicrobial peptide LL-37, pain and periodontal status following non-surgical periodontal therapy. A pilot study." BMC Oral Health, Volume 23, Number 1, Pages 1-11, 2023, Article Number 335    DOI: 10.1186/s12903-023-03023-w

  6. F. Llorente, L. Martino, D. Delgado, "Target-aware Bayesian inference via generalized thermodynamic integration", (to appear) Computational Statistics, 2023. viXra:2111.0150    DOI: 10.1007/s00180-023-01358-0

  7. G. Camps-Valls, M. Campos-Taberner, V. Laparra, L. Martino and J. Munoz-Mari, "Retrieval of Physical Parameters with Deep Structured Kernel Regression," IEEE Transactions on Geoscience and Remote Sensing , Volume 60, Pages 1-10, 2022, Art no. 4709110,    DOI: 10.1109/TGRS.2022.3211554.

  8. R. San Millán-Castillo, L. Martino, E. Morgado, F. Llorente, "An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis", IEEE-ACM Transactions on Audio, Speech and Language Processing, Volume 30, Pages 2460-2474, 2022. arXiv:2207.12743 viXra:2112.0158    DOI: 10.1109/TASLP.2022.3192664

  9. F. Llorente, E. Curbelo, L. Martino, V. Elvira, D. Delgado, "MCMC-driven importance samplers", Applied Mathematical Modelling, Volume 11, Pages 310-331, 2022. arXiv:2105.02579    DOI: 10.1016/j.apm.2022.06.027

  10. F. Llorente, L. Martino, E. Cuberlo, J. Lopez-Santiago, D. Delgado, "On the safe use of prior densities for Bayesian model selection", WIREs Computational Statistics, Volume 15, Number 1, Pages e1595, 2022. arXiv:2206.05210 viXra:2110.0032    DOI: 10.1002/wics.1595

  11. V. Elvira, L. Martino, C. Robert, "Rethinking the Effective Sample Size", International Statistical Review, Volume 90, Number 3, Pages 525-550, 2022. arXiv:1809.04129    DOI: 10.1111/insr.12500

  12. F. Llorente, L. Martino, D. Delgado, J. Lopez-Santiago, "Marginal likelihood computation for model selection and hypothesis testing: an extensive review", SIAM review (SIREV), Volume 65, Number 1, Pages 3-58, 2023. arXiv:2005.08334, viXra:2001.0052    DOI: 10.1137/20M1310849

  13. F. Llorente, L. Martino, J. Read, D. Delgado, "Optimality in Noisy Importance Sampling", Signal Processing, Volume 194, 2022. - 108455 arXiv:2201.02432, viXra:2109.0178    DOI: 10.1016/j.sigpro.2022.108455

  14. D. Heestermans Svendsen, M. Piles, J. Muñoz-Mari, D. Luengo, L. Martino and G. Camps-Valls, "Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions", IEEE Transactions on Geoscience and Remote Sensing, Volume 60, Pages 1-15, 2022, - 4401715 arXiv:2104.08134

  15. J. Lopez-Santiago, L. Martino, J. Miguez, M. A. Vazquez, "A Bayesian inference and model selection algorithm with an optimisation scheme to infer the model noise power", Monthly Notices of the Royal Astronomical Society Volume 507, Number 3, Pages 3351-3361, 2021.

  16. F. Llorente, L. Martino, D. Delgado, G. Camps-Valls, "Deep Importance Sampling based on Regression for Model Inversion and Emulation", Digital Signal Processing, Volume 112, 2021. - 103104 arXiv:2010.10346

  17. D. Heestermans Svendsen, D. Hernandez-Lobato, L. Martino, V. Laparra, A. Moreno-Martinez, G. Camps-Valls, "Inference over Radiative Transfer Models using Variational and Expectation Maximization Methods", Machine Learning, Volume 112, Pages: 921-937, 2021. arXiv:2204.03346    DOI: 10.1007/s10994-021-05999-4

  18. L. Martino, F. Llorente, E. Cuberlo, J. Lopez-Santiago, J. Miguez, "Automatic Tempered Posterior Distributions for Bayesian Inversion Problems", Mathematics Volume 9, Number 7: 784, Pages: 1-17, 2021. viXra:2004.0425 arXiv:2107.11614 ATAIS pdf final version

  19. L. Martino, J. Read, "A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers", Information Fusion, Volume 74, Pages 17-38, 2021 arXiv:2009.09217, viXra:2009.0135

  20. D. Delgado-Gomez, F. Gonzalez-Landero, C. Montes-Botella, A. Sujar, S. Bayona, L. Martino. Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment. Mathematics, Volume 8, Number 12: 2244, 2020.    DOI: doi.org/10.3390/math8122244

  21. K. Berger, J. P. Rivera Caicedo, L. Martino, M. Wocher, T. Hank, J. Verrelst. A Survey of Active Learning for Quantifying Vegetation Traits from Earth Observation Data. Remote Sensing , Volume 13, Number 2: 287, 2021.

  22. L. Martino, V. Elvira, J. Lopez-Santiago, G. Camps-Valls. "Compressed particle methods for expensive models with application in Astronomy and Remote Sensing", IEEE Transactions on Aerospace and Electronic Systems (TAES) Volume 57, Number 5, Pages 2607-2621, 2021. arXiv:2107.08465

  23. V. Elvira, L. Martino, P. Closas, "Importance Gaussian Quadrature", IEEE Transactions on Signal Processing, Volume 69, Pages 474-488, 2021. arXiv:2001.03090

  24. F. Llorente, L. Martino, V. Elvira, D. Delgado, J. Lopez-Santiago, "Adaptive quadrature schemes for Bayesian inference via active learning", IEEE Access, Volume 8, Pages 208462-208483, 2020. arXiv:2006.00535    DOI: 10.1109/ACCESS.2020.3038333

  25. F. Llorente, L. Martino, D. Delgado. Contributed Discussion to On a "Class of Objective Priors from Scoring Rules" of F. Leisen, C. Villa, and S. G. Walker. Bayesian Analysis, Volume 15, Number 4, pp. 1345-1423, 2020.

  26. J. Lopez-Santiago, L. Martino, J. Miguez, M. A. Vazquez. "A likely magnetic activity cycle of the exoplanet host M dwarf GJ 3512", Astronomical Journal, Volume 160, Number 6, Pages 160-273, 2020. arXiv:2010.07715    DOI: 10.3847/1538-3881/abc171

  27. L. Martino, V. Elvira. Compressed Monte Carlo with application in particle filtering, Information Sciences, Volume 553, Pages 331-352, 2021. arXiv:2107.08459

  28. J. Read, L. Martino. Probabilistic Regressor Chains with Monte Carlo Methods, Neurocomputing, Volume 413, Pages 471-486, 2020. arXiv:1907.08087    DOI: 10.1016/j.neucom.2020.05.024

  29. D. Luengo, L. Martino, M. Bugallo, V. Elvira, S. Sarkka, "A Survey of Monte Carlo Methods for Parameter Estimation", EURASIP Journal on Advances in Signal Processing, Article number: 25, 2020.    DOI: 10.1186/s13634-020-00675-6

  30. D. H. Svendsen, L. Martino, G. Camps-Valls. Active Emulation of Computer Codes with Gaussian Processes - Application to Remote Sensing, Pattern Recognition Volume 100, 2020, 107103 arXiv:1912.06552    DOI: 10.1016/j.patcog.2019.107103

  31. J. Vicent, J. Verrelst, N. Sabater, L. Alonso, J. P. Rivera-Caicedo, L. Martino, J. Muñoz-Mari, J. Moreno. "Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)", Geoscientific Model Development , Volume 13, Pages: 1945-1957, 2020.    DOI: 10.5194/gmd-13-1945-2020

  32. V. Elvira, L. Martino, M. F. Bugallo, P. M. Djuric, "Elucidating the auxiliary particle filter via multiple importance sampling", IEEE Signal Processing Magazine, Volume 36, Number 6, Pages 145-152, 2019.    DOI: 10.1109/MSP.2019.2938026

  33. F. Llorente, L. Martino, D. Delgado, "Parallel Metropolis-Hastings Coupler", IEEE Signal Processing Letters, Volume 26, Number 6, Pages 953-957, 2019.    DOI: 10.1109/LSP.2019.2913470

  34. V. Elvira, L. Martino, D. Luengo, M. F. Bugallo, "Generalized Multiple Importance Sampling", Statistical Science, Volume 34, Number 1, Pages 129-155, 2019. arXiv:1511.03095   C. Robert's comments    DOI: 10.1214/18-STS668

  35. J. Vicent, L. Alonso, L. Martino, N. Sabater, J. Verrelst, G. Camps-Valls, J. Moreno. "Gradient-based Automatic Look-Up Table Generator for Radiative Transfer Models", IEEE Transactions on Geoscience and Remote Sensing, Volume 57, Number 2, Pages: 1040-1048, 2019. arXiv:2012.04598    DOI: 10.1109/TGRS.2018.2864517

  36. L. Martino, V. Elvira, G. Camps-Valls, "Group Importance Sampling for Particle Filtering and MCMC", Digital Signal Processing Volume 82, Pages 133-151, 2018. arXiv:1704.02771, viXra:1704.0063    DOI: 10.1016/j.dsp.2018.07.007

  37. G. Camps-Valls, L. Martino, D. H. Svendsen, M. Campos-Taberner, J. Munoz-Mari, V. Laparra, D. Luengo, J. Garcia-Haro. "Physics-Aware Gaussian Processes in Remote Sensing", Applied Soft Computing, Volume 28, Pages: 69-82, 2018. arXiv:2012.07986    DOI: 10.1016/j.asoc.2018.03.021

  38. D. Luengo, L. Martino, V. Elvira, M. F. Bugallo, "Efficient linear fusion of partial estimators", Digital Signal Processing, Volume 78, Pages: 265-283, 2018. viXra:1601.0179    DOI: 10.1016/j.dsp.2018.03.006

  39. L. Martino, "A Review of Multiple Try MCMC algorithms for Signal Processing", Digital Signal Processing, Volume 75, Pages: 134-152, 2018. arXiv:1801.09065 viXra:1704.0063 C. Robert's comments    DOI: 10.1016/j.dsp.2018.01.004

  40. L. Martino, D. Luengo, "Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels", Communications in Statistics - Simulation and Computation, Volume 48, Number 6, Pages: 1798-1814, 2019. viXra:1407.0133    DOI: 10.1080/03610918.2018.1423694

  41. L. Martino, R. Casarin, F. Leisen, D. Luengo, "Adaptive Independent Sticky MCMC algorithms", EURASIP Journal on Advances in Signal Processing, Volume 2018:5, Number 1, Pages: 1-28, 2018. (online since 2017) arXiv:1308.3779    DOI: 10.1186/s13634-017-0524-6

  42. L. Martino, V. Elvira, G. Camps-Valls, "The Recycling Gibbs Sampler for Efficient Learning", Digital Signal Processing, Volume 74, Pages: 1-13, 2018. arXiv:1611.07056, viXra:1609.0230    DOI: 10.1016/j.dsp.2017.11.012

  43. D. Heestermans Svendsen, L. Martino, M. Campos-Taberner, J. Garcia-Haro, G. Camps-Valls, "Joint Gaussian Processes for Biophysical Parameter Retrieval", IEEE Transactions on Geoscience and Remote Sensing, Volume 56, Issue 3, Pages: 1718-1727, 2018.    DOI: 10.1109/TGRS.2017.2767205

  44. L. Martino, F. Louzada, "Adaptive Rejection Sampling with Fixed Number of Nodes", Communications in Statistics - Simulation and Computation, Volume 48, Issue 3, Pages: 655-665, 2019. (accepted online 2017) arXiv:1509.07985, viXra:1509.0048    DOI: 10.1080/03610918.2017.1395039

  45. L. Martino, "Parsimonious Adaptive Rejection Sampling", IET Electronics Letters, Volume 53, Issue 16, Pages: 1115-1117, 2017. viXra:1705.0093        CODE:        download        Mathworks link    DOI: 10.1049/el.2017.1711

  46. M. F. Bugallo, V. Elvira, L. Martino, D. Luengo, J. Miguez, P. M. Djuric, "Adaptive Importance Sampling: The Past, the Present, and the Future", IEEE Signal Processing Magazine, Volume 34, Issue 4, Pages: 60-79, 2017.    DOI: 10.1109/MSP.2017.2699226

  47. L. Martino, J. Read, V. Elvira, F. Louzada, "Cooperative Parallel Particle Filters for on-Line Model Selection and Applications to Urban Mobility" Digital Signal Processing Volume 60, Pages: 172-185, 2017. pdf arXiv:1609.07731, viXra:1512.0420    DOI: 10.1016/j.dsp.2016.09.011

  48. L. Martino, V. Elvira, F. Louzada, "Effective Sample Size for Importance Sampling Based on Discrepancy Measures", Signal Processing, Volume 131, Pages: 386-401, 2017. pdf arXiv:1602.03572, viXra:1602.0112    DOI: 10.1016/j.sigpro.2016.08.025

  49. J. Read, L. Martino, J. Hollmén, "Multi-label Methods for Prediction with Sequential Data", Pattern Recognition, Volume 63, Pages 45-55, 2017. pdf arXiv:1609.08349, viXra:1510.0325    DOI: 10.1016/j.patcog.2016.09.015

  50. V. Elvira, L. Martino, D. Luengo, M. F. Bugallo, "Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes", Signal Processing Volume 131, Pages: 77-91, 2017. pdf arXiv:1607.02758, viXra:1601.0174    DOI: 10.1016/j.sigpro.2016.07.012

  51. L. Martino, V. Elvira, D. Luengo, J. Corander, "Layered Adaptive Importance Sampling", Statistics and Computing, Volume 27, Issue 3, Pages: 599-623, 2017. arXiv:1505.04732, viXra:1505.0135, (slides) (preliminary code-1 (non-iterative version)) (preliminary code-2 (iterative version))    DOI: 10.1007/s11222-016-9642-5

  52. L. Martino, F. Louzada, "Issues in the Multiple Try Metropolis Mixing", Computational Statistics, Volume 32, Issue 1, Pages: 239-252, 2017. pdf arXiv:1508.04253, viXra:1508.0142    DOI: 10.1007/s00180-016-0643-9

  53. L. Martino, R. B. Stern, F. Louzada, "Comments on the Article by Matthew T. Pratola", Bayesian Analysis, Volume 11, Issue 3, Pages: 929-943, 2016. pdf

  54. L. Martino, V. Elvira, D. Luengo, J. Corander, F. Louzada, "Orthogonal Parallel MCMC Methods for Sampling and Optimization", Digital Signal Processing Volume 58, Pages: 64-84, 2016. pdf arXiv:1507.08577, viXra:1507.0110

  55. V. Elvira, L. Martino, D. Luengo, M. Bugallo, "Heretical Multiple Importance Sampling", IEEE Signal Processing Letters, Volume 23, Issue 10, Pages: 1474-1478, 2016. arXiv:1609.04740

  56. M. Bugallo, L. Martino, J. Corander, "Adaptive Importance Sampling in Signal Processing", Digital Signal Processing, Volume 47, Pages: 36-49, 2015. pdf

  57. V. Elvira, L. Martino, D. Luengo, M. Bugallo, "Efficient Multiple Importance Sampling Estimators", IEEE Signal Processing Letters, Volume 22, Issue 10, Pages: 1757-1761, 2015. pdf, arXiv:1505.05391

  58. L. Martino, H. Yang, D. Luengo, J. Kanniainen, J. Corander, "A Fast Universal Self-Tuned Sampler Within Gibbs Sampling", Digital Signal Processing, Volume 47, Pages 68-83, 2015. pdf viXra.org:1405.0263

  59. L. Martino, V. Elvira, D. Luengo, J. Corander, "An Adaptive Population Importance Sampler: Learning from the Uncertanity", IEEE Transactions on Signal Processing, Volume 63, Issue 16, Pages 4422-4437, 2015. pdf viXra.org:1405.0280

  60. L. Martino, J. Read, D. Luengo, "Independent Doubly Adaptive Rejection Metropolis Sampling within Gibbs Sampling", IEEE Transactions on Signal Processing, Volume 63, Issue 12, Pages: 3123-3138, 2015. pdf, arXiv:1205.5494 (Toy) Matlab Code

  61. J. Read, L.Martino, P. Olmos, D. Luengo. "Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises", Pattern Recognition, Volume 48, Issue 6, Pages: 2096-2109, 2015. pdf, arXiv:1501.04870

  62. J. Read, L. Martino, D. Luengo, "Efficient Monte Carlo Methods for Multi-Dimensional Learning with Classifier Chains", Pattern Recognition, Volume 47, Issue 3, Pages: 1535-1546, 2014. pdf, arXiv:1211.2190

  63. I. Martino, L. Martino,"On the variety of linear recurrences and numerical semigroups", Semigroup Forum, Volume 88, Issue 3, Pages: 569-574, 2014. pdf, arXiv:1207.0111

  64. L. Martino, J. Read, "On the flexibility of the design of Multiple Try Metropolis schemes", Computational Statistics, Volume 28, Issue 6, Pages: 2797-2823, 2013. pdf, arXiv:1201.0646 DOI: 10.1007/s00180-013-0429-2

  65. D. Luengo, L. Martino, "Almost rejectionless sampling from Nakagami-m distributions (m≥1)", IET Electronics Letters, Volume 48, Issue 24, Pages: 1559-1561, 2012. pdf   

  66. L. Martino, D. Luengo, J. Míguez, "Efficient Sampling from Truncated Bivariate Gaussians via the Box-Muller Transformation", IET Electronics Letters, Volume 48, Issue 24, Pages: 1533-1535, 2012. pdf   

  67. D. Luengo, L. Martino, "Efficient random variable generation: ratio of uniforms and polar rejection sampling", IET Electronics Letters, Volume 48, Issue 6, Pages: 326-327, 2012. pdf   

  68. L. Martino, V. P. Del Olmo, J. Read, "A multi-point Metropolis scheme with generic weight functions", Statistics and Probability Letters, Volume 82, Issue 7, Pages: 1445-1453, 2012. pdf, arXiv:1112.4048   

  69. L. Martino, J. Míguez, "A Generalization of the Adaptive Rejection Sampling Algorithm", Statistics and Computing, Volume 21, Number 4, Pages: 633-647, 2011. pdf   

  70. L. Martino, J. Míguez, "Generalized Rejection Sampling Schemes and Applications in Signal Processing", Signal Processing, Volume 90, Issue 11, Pages: 2981-2995, 2010. pdf, arXiv:0904.1300   

Technical reports and submitted articles

  1. E. Curbelo, L. Martino, F. Llorente, D. Delgado-Gomez, Adaptive Posterior Distributions for Uncertainty Analysis of Covariance Matrices in Bayesian Inversion Problems for Multioutput Signals, viXra:2310.0032, 2023.

  2. L. Martino, P. Paradas, L. Carro, M. M. Garcia, C. Goicoechea, S. Ingrassia, An Automatic Counting System of Small Objects in Noisy Images with a Noisy Labelled Dataset: Computing the Number of Microglial Cells in Biomedical Images, viXra:2307.0056, 2023.

  3. F. Llorente, L. Martino, J. Read, D. Delgado, "A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning", arXiv:2108.00490, 2021. ★

  4. L. Martino, V. Elvira, "Effective Sample Size Approximations as Entropy Measures", viXra:2111.0145, 2021.

  5. L. Martino, V. Elvira, "Compressed Monte Carlo for Distributed Bayesian Inference", viXra:1811.0505, 2018.

  6. L. Martino, J. Read, F. Louzada, "Viterbi Classifier Chains for Multi-Dimensional Learning", viXra:1506.0119, 2015.

  7. L. Martino, F. Leisen, J. Corander, "On Multiple Try Schemes and the Particle Metropolis-Hastings Algorithm", 2014. viXra:1409.0051   

  8. L. Martino, D. Luengo, "Extremely efficient generation of Gamma random variables for α≥1", arXiv:1304.3800, 2013.

  9. D. Luengo, L. Martino, "Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm", arXiv:1212.0122, 2012.

  10. L. Martino, D. Luengo, J. Míguez, "On the Generalized Ratio of Uniforms as a Combination of Transformed Rejection and Extended Inverse of Density Sampling" , arXiv:1205.0482, 2012.

  11. L. Martino, J. Míguez, "Two adaptive rejection sampling schemes for probability density functions log-convex tails" arXiv:1111.4942, 2011.

PhD Thesis

  • Luca Martino, Joaquín Míguez, "Novel schemes for adaptive rejection sampling" pdf   

    Books - Chapters

  • BOOK: L. Martino, D. Luengo, J. Míguez, "Independent Random Sampling Methods", Springer, 2018.    DOI: 10.1007/978-3-319-72634-2

  • Chapter: D. Luengo, L. Martino, "Statistical Simulation of Multipath Fading Channels for Mobile Wireless Digital Communication Systems", Chapter 10, Taylor and Francis LLC, Editor Al Sakin Khan Pathan.   

  • Chapter: L. Martino, V. Elvira, D. Luengo, J. Corander. "MCMC-Driven Adaptive Multiple Importance Sampling", Chapter 8, Interdisciplinary Bayesian Statistics, Springer Proceedings in Mathematics and Statistics, Vol. 118.   

  • Chapter: Chapter 8 of "Digital Signal Processing with Kernel Methods", Wiley.

  • Chapter: Chapter 2.13, G. Camps-Valls, L. Gómez-Chova, V. Laparra, L. Martino, G. M. García, J. Muñoz, D. H. Svendsen, J. Verrelst, "Statistical biophysical parameter retrieval and emulation with Gaussian processes", Data Handling in Science and Technology Volume 32, Pages 333-368, 2020.

  • Invited Chapter: L. Martino, V. Elvira. "Metropolis Sampling", Wiley StatsRef: Statistics Reference Online, 2017. arXiv:1704.04629   

  • Invited Chapter: V. Elvira, L. Martino, "Advances in Importance Sampling", Wiley StatsRef: Statistics Reference Online, 2020. arXiv:2102.05407

    Conferences (papers)

    1. M. Alami Chehboune, R. kaddah, L. Martino, F. Llorente, J. Read. "CAMEO: CURIOSITY AUGMENTED METROPOLIS FOR EXPLORATORY OPTIMAL POLICIES", 30th European Signal Processing Conference (EUSIPCO), 2022.

    2. F. Llorente, E. Curbelo, L. Martino, P. Olmos, D. Delgado. "Safe importance sampling based on partial posteriors and neural variational approximations", 30th European Signal Processing Conference (EUSIPCO), 2022.

    3. F. Llorente, L. Martino, V. Elvira, and D. Delgado. "A Nearest Neighbors quadrature for posterior approximation via adaptive sequential design", IEEE Workshop on Statistical Signal Processing (SSP), 2021 - online.

    4. Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques. "OVERPARAMETRIZED DEEP ENCODER-DECODER SCHEMES FOR INPUTS AND OUTPUTS DEFINED OVER GRAPHS". 28th European Signal Processing Conference (EUSIPCO), 2020.

    5. F. Llorente, L. Martino, D. Delgado, J. Lopez-Santiago. "On the computation of marginal likelihood via MCMC for model selection and hypothesis testing". 28th European Signal Processing Conference (EUSIPCO), 2020.

    6. L. Martino, V. Elvira, G. Camps-Valls. "Particle Group Metropolis methods for tracking the leaf area index". IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

    7. L. Martino, D. H. Svendsen, J. Vicent, G. Camps-Valls. "Adaptive sequential interpolator using active learning for efficient emulation of complex systems". IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

    8. S. Rey, V. Tenorio, S. Rozada, L. Martino, and A. G. Marques, "Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals", IEEE Conference on Signals, Systems, and Computers (ASILOMAR), 2019.

    9. Y. El-Laham, L. Martino, V. Elvira, M. Bugallo, "Efficient Adaptive Multiple Importance Sampling", 27th European Signal Processing Conference (EUSIPCO), 2019.

    10. V. Elvira, P. Closas, L. Martino, "Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation", 27th European Signal Processing Conference (EUSIPCO), 2019.

    11. V. Elvira, L. Martino, M. Bugallo, P. Djuric, "In Search for Improved Auxiliary Particle Filters", 26th European Signal Processing Conference (EUSIPCO), 2018.

    12. L. Martino, V. Elvira, J. Miguez, A. Artes, P. Djuric, "A comparison of clipping strategies for importance sampling", IEEE Statistical Signal Processing Workshop, (SSP), 2018.

    13. L. Martino, V. Elvira, G. Camps-Valls, "Distributed Particle Metropolis-Hastings schemes", IEEE Statistical Signal Processing Workshop, (SSP), 2018.

    14. A. Moreno, M. Maneta, G. Camps-Valls, L. Martino, N. Robinson, B. Allred, S. Running,"Interpolation and gap filling of landsat reflectance time series", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

    15. D. H. Svendsen, L. Martino, J. Vicent, G. Camps-Valls, "Multioutput automatic emulator for radiative transfer models", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

    16. V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Novel weighting and resampling schemes in Population Monte Carlo", French National Conference on Signal and Image rocessing (GRETSI), 2017.

    17. V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Population Monte Carlo Schemes with Reduced Path Degeneracy", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.

    18. L. Martino, V. Elvira, D. Luengo, "Anti-tempered Layered Adaptive Importance Sampling", International Conference on Digital Signal Processing (DSP; almost IEEE), 2017.

    19. L. Martino, V. Laparra, G. Camps-Valls, "Probabilistic Cross-Validation Estimators for Gaussian Process Regression", 25th European Signal Processing Conference (EUSIPCO), 2017.

    20. L. Martino, V. Elvira, G. Camps-Valls, "Group Metropolis Sampling", 25th European Signal Processing Conference (EUSIPCO), 2017.

    21. L. Martino, V. Elvira, G. Camps-Valls, "Recycling Gibbs Sampling", 25th European Signal Processing Conference (EUSIPCO), 2017.

    22. L. Martino, J. Vicent, G. Camps-Valls, "Automatic Emulation by Adaptive Relevance Vector Machines", SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS (SCIA), 2017. pdf   

    23. G. Camps-Valls, D. H. Svendsen, L. Martino, Jordi Muñoz-Mari, V. Laparra, M. Campos-Taberner, D. Luengo, "Physics-Aware Gaussian Processes for Earth Observation", SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS (SCIA), 2017.

    24. L. Martino, J. Vicent, G. Camps-Valls, "Automatic Emulator and Optimized Look-up Table Generation for Radiative Transfer Models", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017. pdf   

    25. D. H. Svendsen, L. Martino, M. Campos-Taberner, G.Camps-Valls, "Joint Gaussian Processes for Inverse Modeling", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

    26. M. F. Bugallo, V. Elvira, L. Martino, "A new strategy for effective learning in adaptive importance sampling", IEEE Conference on Signals, Systems, and Computers, (ASILOMAR), 2016.

    27. L. Martino, J. Plata, F. Louzada, "A Monte Carlo Scheme for Node-Specific Inference Over Wireless Sensor Networks", IEEE Sensor Array and Multichannel Signal Processing Workshop, (SAM), 2016. viXra:1603.0180.

    28. L. Martino, V. Elvira, D Luengo, F. Louzada, "Adaptive Population Importance Samplers: A General Perspective", IEEE Sensor Array and Multichannel Signal Processing Workshop, (SAM), 2016.

    29. L. Martino, V. Elvira, F. Louzada, "Weighting a Resampled Particle in Sequential Monte Carlo", IEEE Statistical Signal Processing Workshop, (SSP), 2016. viXra:1602.0333.

    30. L. Martino, V. Elvira, F. Louzada, "Alternative Effective Sample Size measures for Importance Sampling", IEEE Statistical Signal Processing Workshop, (SSP), 2016.

    31. V. Elvira, L. Martino, D. Luengo, M. Bugallo, "Multiple Importance Sampling with Overlapping Sets of Proposals", IEEE Statistical Signal Processing Workshop, (SSP), 2016.

    32. L. Martino, R. Casarin, D. Luengo, "Sticky proposal densities for adaptive MCMC methods", IEEE Statistical Signal Processing Workshop, (SSP), 2016.

    33. L. Martino, V. Elvira, D. Luengo, F. Louzada, "Parallel Metropolis chains with cooperative adaptation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2016.    arXiv:1509.07993

    34. V. Elvira, L. Martino, D. Luengo, and M. Bugallo, "On Sample Generation and Weight Calculation in Importance Sampling", IEEE Conference on Signals, Systems, and Computers (ASILOMAR), 2015.

    35. D. Luengo, L. Martino, V. Elvira, M. Bugallo, "Bias Correction for Distributed Bayesian Estimators", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015.

    36. L. Martino, V. Elvira, D. Luengo, J. Corander, "Interacting Parallel Markov Adaptive Importance Sampling", 23th European Signal Processing Conference (EUSIPCO), 2015. pdf   

    37. L. Martino, V. Elvira, D. Luengo, A. Artes, J. Corander, "Smelly Parallel MCMC Chains", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015. pdf   

    38. V. Elvira, L. Martino, D. Luengo, J. Corander, "A Gradient Adaptive Population Importance Sampler", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015. pdf   

    39. D. Luengo, L. Martino, V. Elvira, M. Bugallo, "Efficient Linear Combination of Partial Monte Carlo Estimators", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015. pdf   

    40. L. Martino, V. Elvira, D. Luengo, A. Artes, J. Corander, "Orthogonal MCMC algorithms", IEEE Statistical Signal Processing Workshop, (SSP), 2014. pdf   

    41. L. Martino, V. Elvira, D. Luengo, J. Corander, "An Adaptive Population Importance Sampler", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014. pdf   

    42. D. Luengo, D. Oses, L. Martino, "Monte Carlo Limit Cycle Characterization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014. pdf   

    43. L. Martino, J. Read, D. Luengo, "Independent doubly adaptive rejection Metropolis sampling", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014. pdf   

    44. D. Luengo, L. Martino, "Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver (Canada), 2013. pdf   

    45. J. Read, L. Martino, D. Luengo, "Efficient Monte Carlo Optimization for Multi-label Classifier Chains", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver (Canada), 2013. pdf   

    46. L. Martino, J. Míguez, "A rejection sampling scheme for posterior probability distributions via the Ratio-of-Uniforms method", European Signal Processing Conference (EUSIPCO), Aalborg, 2010. pdf   

    47. L. Martino, J. Míguez, "An Adaptive Accept/Reject Sampling Algorithm for Posterior Probability Distributions", Workshop on Statistical Signal Processing (SSP), Cardiff, 2009. pdf   

    48. L. Martino, J. Míguez, "New Accept/Reject Methods for Independent Sampling from Posterior Probability Distributions", European Signal Processing Conference (EUSIPCO), Glasgow, 2009. pdf   

    49. K. Achutegui, L. Martino, J. Rodas, C. J. Escudero, J. Míguez, "A Multi-Model Particle Filtering Algorithm for Indoor Tracking of Mobile Terminals Using RSS Data", IEEE International Conference on Control Applications (CCA), San Petersburgo (Rusia), 2009. pdf   

    50. L. Martino, J. Míguez, "A Novel Rejection Sampling Scheme for Posterior Probability Distributions", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei (Taiwan), 2009. pdf   

    Special sessions, special issues, and other organization tasks

    1. session 1
    2. Program Committee Member at Workshop on Advances in High Dimensional Big Data ===> https://sites.google.com/site/adhdbigdata3/
    3. Technical Committee Member at EUSIPCO 2019
    4. LOCAL COMMITTEE Member at Manifesting Intelligence

    Thesis Court

    1. Luis Antonio Úbeda Medina

    Attendance and other contributions

    IEEE TGARS 5;    PatRec 4;    SigPro 4;    IEEE TSP 3;    StaCo 2;    IEEE SPM 2;    BaAn 2;    MATH 2;    Stat Sci 1;  NeuroCom 1;    AppSoftComp 1;    GeoSciModelDev 1;    InF-Scie 1;    Astro-J 1;    IEEE Acc 1;    TAES 1;    InfFus 1;    MNRAS 1;    SIAM-REV 1;    AppMathMod 1;    IEEE-ACM TASL 1;    ESWA 1;    BMCOral 1;      TOT=39

    DSP 10;      IEEE-SP-Let 3;    Rem-Sens 1;    SemFor 1;    MachLearn 1;      IntStatRev 1;      WIREsCompStat 1;      JournalFrankInstitute 1      TOT=19

    JASP 2;      TOT=2

    Comm StatSimCo 2    CompStat 3;    TOT=5

    StatProLet 1;    EL-Let 4;      TOT=5

    Diversity 36

    Repetition 10 5 4 4 4 3 3 3 2   2   2   2   2   2   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1   1
    -------------  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

    Q1+Q2=39+19=58 (realmente WIREsCompStat es Q1 creo y JournalFrankInstitute casi Q1)
    Q3+Q4=12
    AuthorID 34969394500 from Mendeley -Scopus