Open Access
Issue |
A&A
Volume 666, October 2022
|
|
---|---|---|
Article Number | A176 | |
Number of page(s) | 24 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202243078 | |
Published online | 25 October 2022 |
- Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, software available from tensorflow.org [Google Scholar]
- Abbott, D. C., & Lucy, L. B. 1985, ApJ, 288, 679 [NASA ADS] [CrossRef] [Google Scholar]
- Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2017, Nature, 551, 85 [Google Scholar]
- Bak Nielsen, A.-S., Hjorth, J., & Gall, C. 2018, A&A, 611, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bellm, E. 2014, in The Third Hot-wiring the Transient Universe Workshop, ed. P. R. Wozniak, M. J. Graham, A. A. Mahabal, & R. Seaman, 27 [Google Scholar]
- Bengio, Y. 2012, Practical Recommendations for Gradient-Based Training of Deep Architectures, eds. G. Montavon, G. B. Orr, & K.-R. Müller (Berlin, Heidelberg: Springer Berlin Heidelberg) 437 [Google Scholar]
- Bertoldi, F., Carilli, C. L., Cox, P., et al. 2003, A&A, 406, L55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bevan, A., & Barlow, M. J. 2016, MNRAS, 456, 1269 [NASA ADS] [CrossRef] [Google Scholar]
- Bevan, A. M., Krafton, K., Wesson, R., et al. 2020, ApJ, 894, 111 [NASA ADS] [CrossRef] [Google Scholar]
- Bhojanapalli, S., Wilber, K., Veit, A., et al. 2021, ArXiv e-prints [arXiv:2102.03349] [Google Scholar]
- Bishop, C. M. 1995, Neural Comput., 7, 108 [CrossRef] [Google Scholar]
- Chawner, H., Marsh, K., Matsuura, M., et al. 2019, MNRAS, 483, 70 [NASA ADS] [CrossRef] [Google Scholar]
- Chen, T. W., Brennan, S. J., Wesson, R., et al. 2021, ArXiv e-prints [arXiv:2109.07942] [Google Scholar]
- Chollet, F., et al. 2015, Keras, https://github.com/fchollet/keras [Google Scholar]
- Clevert, D.-A., Unterthiner, T., & Hochreiter, S. 2015, ICLR 2016, [arXiv:1511.07289] [Google Scholar]
- De Looze, I., Barlow, M. J., Bandiera, R., et al. 2019, MNRAS, 488, 164 [NASA ADS] [CrossRef] [Google Scholar]
- De Looze, I., Lamperti, I., Saintonge, A., et al. 2020, MNRAS, 496, 3668 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T. 2009, ASP Conf. Ser., 414, 453 [Google Scholar]
- Draine, B. T., & Lee, H. M. 1984, ApJ, 285, 89 [NASA ADS] [CrossRef] [Google Scholar]
- Dwek, E., Galliano, F., & Jones, A. P. 2007, ApJ, 662, 927 [NASA ADS] [CrossRef] [Google Scholar]
- Ercolano, B., Barlow, M. J., Storey, P. J., & Liu, X. W. 2003a, MNRAS, 340, 1136 [Google Scholar]
- Ercolano, B., Morisset, C., Barlow, M. J., Storey, P. J., & Liu, X. W. 2003b, MNRAS, 340, 1153 [NASA ADS] [CrossRef] [Google Scholar]
- Ercolano, B., Barlow, M. J., & Storey, P. J. 2005, MNRAS, 362, 1038 [Google Scholar]
- Ercolano, B., Barlow, M. J., & Sugerman, B. E. K. 2007, MNRAS, 375, 753 [NASA ADS] [CrossRef] [Google Scholar]
- Fawcett, T. 2006, Pattern Recognit. Lett., 27, 861 [Google Scholar]
- Ferrara, A., Viti, S., & Ceccarelli, C. 2016, MNRAS, 463, L112 [NASA ADS] [CrossRef] [Google Scholar]
- Fesen, R. A., Hamilton, A. J. S., & Saken, J. M. 1989, ApJ, 341, L55 [NASA ADS] [CrossRef] [Google Scholar]
- Finkelstein, S. L., Papovich, C., Salmon, B., et al. 2012, ApJ, 756, 164 [NASA ADS] [CrossRef] [Google Scholar]
- Gall, C., & Hjorth, J. 2018, ApJ, 868, 62 [CrossRef] [Google Scholar]
- Gall, C., Andersen, A. C., & Hjorth, J. 2011a, A&A, 528, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gall, C., Hjorth, J., & Andersen, A. C. 2011b, A&ARv, 19, 43 [NASA ADS] [CrossRef] [Google Scholar]
- Gall, C., Hjorth, J., Watson, D., et al. 2014, Nature, 511, 326 [CrossRef] [Google Scholar]
- Gardner, J. P., Mather, J. C., Clampin, M., et al. 2006, Space Sci. Rev., 123, 485 [Google Scholar]
- Glasse, A., Rieke, G. H., Bauwens, E., et al. 2015, PASP, 127, 686 [NASA ADS] [CrossRef] [Google Scholar]
- Gomez, H. L., Krause, O., Barlow, M. J., et al. 2012, ApJ, 760, 96 [NASA ADS] [CrossRef] [Google Scholar]
- Greene, T. P., Kelly, D. M., Stansberry, J., et al. 2017, J. Astron. Teles. Instrum. Syst., 3, 1 [Google Scholar]
- Hanner, M. S. 1988, in Infrared Observations of Comets Halley and Wilson and Properties of the Grains, 22 [Google Scholar]
- He, K., Zhang, X., Ren, S., & Sun, J. 2015, ArXiv e-prints [arXiv:1502.01852] [Google Scholar]
- Henning, T. 2010, ARA&A, 48, 21 [Google Scholar]
- Hogg, D. W., Baldry, I. K., Blanton, M. R., & Eisenstein, D. J. 2002, ArXiv e-prints [arXiv:astro-ph/0210394] [Google Scholar]
- Horner, S. D., & Rieke, M. J. 2004, SPIE, 5487, 628 [NASA ADS] [Google Scholar]
- Indebetouw, R., Matsuura, M., Dwek, E., et al. 2014, ApJ, 782, L2 [NASA ADS] [CrossRef] [Google Scholar]
- Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
- Jones, D. O., Foley, R. J., Narayan, G., et al. 2021, ApJ, 908, 143 [NASA ADS] [CrossRef] [Google Scholar]
- Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
- Kotak, R., Meikle, W. P. S., Farrah, D., et al. 2009, ApJ, 704, 306 [NASA ADS] [CrossRef] [Google Scholar]
- Laor, A., & Draine, B. T. 1993, ApJ, 402, 441 [NASA ADS] [CrossRef] [Google Scholar]
- Lau, R. M., Herter, T. L., Morris, M. R., Li, Z., & Adams, J. D. 2015, Science, 348, 413 [NASA ADS] [CrossRef] [Google Scholar]
- LeCun, Y., Bottou, L., Orr, G. B., & Müller, K. R. 1998, Efficient BackProp, eds. G. B. Orr, & K.-R. Müller (Berlin, Heidelberg: Springer Berlin Heidelberg) 9 [Google Scholar]
- Lucy, L. B. 1999, A&A, 345, 211 [NASA ADS] [Google Scholar]
- Lundberg, S., & Lee, S.-I. 2017, NIPS 2017, ArXiv e-prints [arXiv:1705.07874] [Google Scholar]
- Maas, A. L., Hannun, A. Y., & Ng, A. Y. 2013, in ICML Workshop on Deep Learning for Audio, Speech and Language Processing [Google Scholar]
- Marrone, D. P., Spilker, J. S., Hayward, C. C., et al. 2018, Nature, 553, 51 [NASA ADS] [CrossRef] [Google Scholar]
- Mathis, J. S., Rumpl, W., & Nordsieck, K. H. 1977, ApJ, 217, 425 [Google Scholar]
- Matsuura, M., Dwek, E., Barlow, M. J., et al. 2015, ApJ, 800, 50 [NASA ADS] [CrossRef] [Google Scholar]
- Matsuura, M., De Buizer, J. M., Arendt, R. G., et al. 2019, MNRAS, 482, 1715 [NASA ADS] [CrossRef] [Google Scholar]
- Mauerhan, J., & Smith, N. 2012, MNRAS, 424, 2659 [NASA ADS] [CrossRef] [Google Scholar]
- Micelotta, E. R., Dwek, E., & Slavin, J. D. 2016, A&A, 590, A65 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Michałowski, M. J., Murphy, E. J., Hjorth, J., et al. 2010a, A&A, 522, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Michałowski, M. J., Watson, D., & Hjorth, J. 2010b, ApJ, 712, 942 [CrossRef] [Google Scholar]
- Moseley, S. H., Dwek, E., Glaccum, W., Graham, J. R., & Loewenstein, R. F. 1989, Nature, 340, 697 [NASA ADS] [CrossRef] [Google Scholar]
- Murty, K. G., & Kabadi, S. N. 1987, Math. Prog., 39, 117 [CrossRef] [Google Scholar]
- Nash, J. 1953, Econometrica, 21, 128 [CrossRef] [Google Scholar]
- Niculescu-Duvaz, M., Barlow, M. J., Bevan, A., Milisavljevic, D., & De Looze, I. 2021, MNRAS, 504, 2133 [NASA ADS] [CrossRef] [Google Scholar]
- Ossenkopf, V., Henning, T., & Mathis, J. S. 1992, A&A, 261, 567 [NASA ADS] [Google Scholar]
- Otsuka, M., van Loon, J. T., Long, K. S., et al. 2010, A&A, 518, L139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Owen, P. J., & Barlow, M. J. 2015, ApJ, 801, 141 [NASA ADS] [CrossRef] [Google Scholar]
- Pietrzyński, G., Graczyk, D., Gallenne, A., et al. 2019, Nature, 567, 200 [Google Scholar]
- Pontoppidan, K. M., Pickering, T. E., Laidler, V. G., et al. 2016, SPIE Conf. Ser., 9910, 991016 [NASA ADS] [Google Scholar]
- Priddey, R. S., Isaak, K. G., McMahon, R. G., Robson, E. I., & Pearson, C. P. 2003, MNRAS, 344, L74 [NASA ADS] [CrossRef] [Google Scholar]
- Rho, J., Reach, W. T., Tappe, A., et al. 2009, ApJ, 700, 579 [NASA ADS] [CrossRef] [Google Scholar]
- Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1986, Nature, 323, 533 [Google Scholar]
- Scalzo, R. A., Yuan, F., Childress, M. J., et al. 2017, PASA, 34, e030 [NASA ADS] [CrossRef] [Google Scholar]
- Seitenzahl, I. R., Timmes, F. X., & Magkotsios, G. 2014, ApJ, 792, 10 [NASA ADS] [CrossRef] [Google Scholar]
- Shapley, L. S. 2016, 17. A Value for n-Person Games, eds. H. W. Kuhn, & A. W. Tucker, Princeton: Princeton University Press, 307 [Google Scholar]
- Shrikumar, A., Greenside, P., Shcherbina, A., & Kundaje, A. 2016, ArXiv eprints [arXiv:1605.01713] [Google Scholar]
- Shrikumar, A., Greenside, P., & Kundaje, A. 2017, PMLR, 70, 3145 [Google Scholar]
- Silvia, D. W., Smith, B. D., & Shull, J. M. 2012, ApJ, 748, 12 [NASA ADS] [CrossRef] [Google Scholar]
- Smith, N., Chornock, R., Li, W., et al. 2008, ApJ, 686, 467 [NASA ADS] [CrossRef] [Google Scholar]
- Szalai, T., Zsíros, S., Fox, O. D., Pejcha, O., & Müller, T. 2019, ApJS, 241, 38 [NASA ADS] [CrossRef] [Google Scholar]
- van Rijn, J. N., & Hutter, F. 2018, in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD ’18 (New York, NY, USA: Association for Computing Machinery), 2367 [CrossRef] [Google Scholar]
- Wang, R., Carilli, C. L., Wagg, J., et al. 2008, ApJ, 687, 848 [NASA ADS] [CrossRef] [Google Scholar]
- Watson, D., Christensen, L., Knudsen, K. K., et al. 2015, Nature, 519, 327 [Google Scholar]
- Weerts, H. J. P., Mueller, A. C., & Vanschoren, J. 2020, ArXiv e-prints [arXiv:2007.07588] [Google Scholar]
- Wesson, R., Barlow, M. J., Matsuura, M., & Ercolano, B. 2015, MNRAS, 446, 2089 [NASA ADS] [CrossRef] [Google Scholar]
- Wooden, D. H., Rank, D. M., Bregman, J. D., et al. 1993, ApJS, 88, 477 [NASA ADS] [CrossRef] [Google Scholar]
- You, Y., Gitman, I., & Ginsburg, B. 2017, ArXiv e-prints [arXiv:1708.03888] [Google Scholar]
- Zubko, V. G., Mennella, V., Colangeli, L., & Bussoletti, E. 1996, MNRAS, 282, 1321 [Google Scholar]
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