Free Access
Issue
A&A
Volume 603, July 2017
Article Number A60
Number of page(s) 11
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201630240
Published online 06 July 2017
  1. Adelberger, K. L., Steidel, C. C., Shapley, A. E., et al. 2004, ApJ, 607, 226 [NASA ADS] [CrossRef] [Google Scholar]
  2. Alain, G., & Bengio, Y. 2014, J. Mach. Lear. Res., 15, 3563 [Google Scholar]
  3. Baldry, I. K., Glazebrook, K., Brinkmann, J., et al. 2004, ApJ, 600, 681 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bengio, Y. 2009, Found. trends Mach. Learn., 2, 1 [Google Scholar]
  5. Bengio, Y., Courville, A., & Vincent, P. 2013, IEEE Trans. Pattern. Anal. Mach. Intell., 35, 1798 [Google Scholar]
  6. Bergstra, J., Breuleux, O., Bastien, F., et al. 2010, in Proc. of the Python for Scientific Computing Conference (SciPy) [Google Scholar]
  7. Brammer, G. B., Whitaker, K. E., van Dokkum, P. G., et al. 2009, ApJ, 706, L173 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
  9. Chen, Y.-M., Kauffmann, G., Tremonti, C., et al. 2012, MNRAS, 421, 314 [NASA ADS] [Google Scholar]
  10. Ciresan, D., Meier, U., & Schmidhuber, J. 2012, in Computer Vision and Pattern Recognition (CVPR), IEEE Conf., 3642 [Google Scholar]
  11. Collobert, R., Weston, J., Bottou, L., et al. 2011, J. Mach. Lear. Res., 12, 2493 [Google Scholar]
  12. Daddi, E., Cimatti, A., Renzini, A., et al. 2004, ApJ, 617, 746 [NASA ADS] [CrossRef] [Google Scholar]
  13. Dahl, G. E., Yu, D., Deng, L., & Acero, A. 2012, Audio, Speech, and Language Processing IEEE Trans., 20, 30 [Google Scholar]
  14. Faber, S. M., Willmer, C. N. A., Wolf, C., et al. 2007, ApJ, 665, 265 [NASA ADS] [CrossRef] [Google Scholar]
  15. Franx, M., Labbé, I., Rudnick, G., et al. 2003, ApJ, 587, L79 [NASA ADS] [CrossRef] [Google Scholar]
  16. Goodfellow, I. J., Warde-Farley, D., Lamblin, P., et al. 2013, ArXiv e-prints [arXiv:1308.4214] [Google Scholar]
  17. Grazian, A., Fontana, A., Santini, P., et al. 2015, A&A, 575, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Hinton, G. E. 1989, Artificial intelligence, 40, 185 [Google Scholar]
  19. Hinton, G. E., Osindero, S., & Teh, Y.-W. 2006, Neural computation, 18, 1527 [Google Scholar]
  20. Hinton, G., Deng, L., Yu, D., et al. 2012, Signal Processing Magazine, IEEE, 29, 82 [Google Scholar]
  21. Ilbert, O., McCracken, H. J., Le Fèvre, O., et al. 2013, A&A, 556, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Krizhevsky, A., Sutskever, I., & Hinton, G. E. 2012, in Advances in neural information processing systems, 1097 [Google Scholar]
  23. Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [NASA ADS] [CrossRef] [Google Scholar]
  24. Larochelle, H., Erhan, D., Courville, A., Bergstra, J., & Bengio, Y. 2007, in Proc. of the 24th Int. Conf. on Machine learning, ACM, 473 [Google Scholar]
  25. Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415 [NASA ADS] [CrossRef] [Google Scholar]
  26. Rifai, S., Vincent, P., Muller, X., Glorot, X., & Bengio, Y. 2011, in Proc. of the 28th Int. Conf. on machine learning (ICML-11), 833 [Google Scholar]
  27. Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1 [NASA ADS] [CrossRef] [Google Scholar]
  28. Speagle, J. S., Steinhardt, C. L., Capak, P. L., & Silverman, J. D. 2014, ApJS, 214, 15 [NASA ADS] [CrossRef] [Google Scholar]
  29. Szegedy, C., Zaremba, W., Sutskever, I., et al. 2013, ArXiv e-prints [arXiv:1312.6199] [Google Scholar]
  30. Vincent, P., Larochelle, H., Bengio, Y., & Manzagol, P.-A. 2008, in Proc. of the 25th Int. Conf. on Machine learning, ACM, 1096 [Google Scholar]
  31. Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., & Manzagol, P.-A. 2010, J. Mach. Lear. Res., 11, 3371 [Google Scholar]
  32. Whitaker, K. E., Labbé, I., van Dokkum, P. G., et al. 2011, ApJ, 735, 86 [NASA ADS] [CrossRef] [Google Scholar]
  33. Wild, V., Almaini, O., Cirasuaolo, M., et al. 2014, MNRAS, 440, 1880 [NASA ADS] [CrossRef] [Google Scholar]
  34. Williams, R. J., Quadri, R. F., Franx, M., van Dokkum, P., & Labbé, I. 2009, ApJ, 691, 1879 [NASA ADS] [CrossRef] [Google Scholar]
  35. Zahid, H. J., Yates, R. M., Kewley, L. J., & Kudritzki, R. P. 2013, ApJ, 763, 92 [NASA ADS] [CrossRef] [Google Scholar]

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