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Items: 7

1.

A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs.

George D, Lehrach W, Kansky K, Lázaro-Gredilla M, Laan C, Marthi B, Lou X, Meng Z, Liu Y, Wang H, Lavin A, Phoenix DS.

Science. 2017 Dec 8;358(6368). pii: eaag2612. doi: 10.1126/science.aag2612. Epub 2017 Oct 26.

PMID:
29074582
2.

Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression.

Muñoz-González L, Lázaro-Gredilla M, Figueiras-Vidal AR.

IEEE Trans Pattern Anal Mach Intell. 2016 Mar;38(3):618-24. doi: 10.1109/TPAMI.2015.2452914.

3.

Divisive Gaussian processes for nonstationary regression.

Muñoz-González L, Lázaro-Gredilla M, Figueiras-Vidal AR.

IEEE Trans Neural Netw Learn Syst. 2014 Nov;25(11):1991-2003. doi: 10.1109/TNNLS.2014.2301951.

PMID:
25330423
4.

A Gaussian process model for data association and a semidefinite programming solution.

Lázaro-Gredilla M, Van Vaerenbergh S.

IEEE Trans Neural Netw Learn Syst. 2014 Nov;25(11):1967-79. doi: 10.1109/TNNLS.2014.2300701.

PMID:
25330421
5.

Kernel recursive least-squares tracker for time-varying regression.

Van Vaerenbergh S, Lázaro-Gredilla M, Santamaria I.

IEEE Trans Neural Netw Learn Syst. 2012 Aug;23(8):1313-26. doi: 10.1109/TNNLS.2012.2200500.

PMID:
24807527
6.

Support vector machines with constraints for sparsity in the primal parameters.

Gómez-Verdejo V, Martínez-Ramón M, Arenas-García J, Lázaro-Gredilla M, Molina-Bulla H.

IEEE Trans Neural Netw. 2011 Aug;22(8):1269-83. doi: 10.1109/TNN.2011.2148727. Epub 2011 Jul 5.

PMID:
21733774
7.

Marginalized neural network mixtures for large-scale regression.

Lazaro-Gredilla M, Figueiras-Vidal AR.

IEEE Trans Neural Netw. 2010 Aug;21(8):1345-51. doi: 10.1109/TNN.2010.2049859. Epub 2010 Jul 1.

PMID:
20601312

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