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Home All issues Volume 673 (May 2023) A&A, 673 (2023) A141 References
Open Access
Issue
A&A
Volume 673, May 2023
Article Number A141
Number of page(s) 10
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202244657
Published online 23 May 2023
  1. Bahdanau, D., Cho, K., & Bengio, Y. 2014, ArXiv e-prints [arXiv:1409.0473] [Google Scholar]
  2. Bao, H., Dong, L., Piao, S., & Wei, F. 2021, ArXiv e-prints [arXiv:2106.08254] [Google Scholar]
  3. Boone, K. 2019, AJ, 158, 257 [NASA ADS] [CrossRef] [Google Scholar]
  4. Carrasco-Davis, R., Cabrera-Vives, G., Förster, F., et al. 2019, PASP, 131, 108006 [NASA ADS] [CrossRef] [Google Scholar]
  5. Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. 2002, J. Artif. Intell. Res., 16, 321 [CrossRef] [Google Scholar]
  6. Cho, K., van Merrienboer, B., Gulcehre, C., et al. 2014, ArXiv e-prints [arXiv:1406.1078] [Google Scholar]
  7. Choromanski, K. M., Likhosherstov, V., Dohan, D., et al. 2021, in International Conference on Learning Representations [Google Scholar]
  8. Dablain, D., Krawczyk, B., & Chawla, N. V. 2021, ArXiv e-prints [arXiv:2105.02340] [Google Scholar]
  9. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. 2018, ArXiv e-prints [arXiv:1810.04805] [Google Scholar]
  10. Dosovitskiy, A., Beyer, L., Kolesnikov, A., et al. 2020, ArXiv e-prints [arXiv:2010.11929] [Google Scholar]
  11. Drake, A. J., Djorgovski, S. G., Mahabal, A., et al. 2011, Proc. Int. Astron. Union, 7, 306 [CrossRef] [Google Scholar]
  12. Efraimidis, P. S. 2010, ArXiv e-prints [arXiv:1012.0256] [Google Scholar]
  13. Frieman, J. A., Bassett, B., Becker, A., et al. 2007, AJ, 135, 338 [Google Scholar]
  14. Fukugita, M., Ichikawa, T., Gunn, J. E., et al. 1996, AJ, 111, 1748 [Google Scholar]
  15. Gill, M. K., Asefa, T., Kaheil, Y., & McKee, M. 2007, Water Resour. Res., 43, W07416 [CrossRef] [Google Scholar]
  16. Gómez, C., Neira, M., Hernández Hoyos, M., Arbeláez, P., & Forero-Romero, J. E. 2020, MNRAS, 499, 3130 [CrossRef] [Google Scholar]
  17. Hložek, R., Ponder, K. A., Malz, A. I., et al. 2020, ArXiv e-prints [arXiv:2012.12392] [Google Scholar]
  18. Hochreiter, S., & Schmidhuber, J. 1997, Neural Comput., 9, 1735 [CrossRef] [Google Scholar]
  19. Holtzman, J. A., Marriner, J., Kessler, R., et al. 2008, AJ, 136, 2306 [NASA ADS] [CrossRef] [Google Scholar]
  20. Hossain, M. S., Betts, J. M., & Paplinski, A. P. 2021, Neurocomputing, 462, 69 [Google Scholar]
  21. Ivezić, Ž., Kahn, S. M., Tyson, J., et al. 2019, ApJ, 873, 111 [NASA ADS] [CrossRef] [Google Scholar]
  22. Ji, S., Xu, W., Yang, M., & Yu, K. 2013, IEEE Trans. Pattern Anal. Mach. Intell., 35, 221 [Google Scholar]
  23. Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
  24. Lin, T.-Y., Goyal, P., Girshick, R. B., He, K., & Dollár, P. 2017, ArXiv e-prints [arXiv:1708.02002] [Google Scholar]
  25. Liu, Z., Luo, S., Li, W., et al. 2021, ArXiv e-prints [arXiv:2011.10185] [Google Scholar]
  26. Liu, Z., Ning, J., Cao, Y., et al. 2022, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Google Scholar]
  27. Möller, A., & de Boissière, T. 2020, MNRAS, 491, 4277 [CrossRef] [Google Scholar]
  28. Ozgur Turkoglu, M., D’Aronco, S., Perich, G., et al. 2021, ArXiv e-prints [arXiv:2102.08820] [Google Scholar]
  29. Pasquet, J., Pasquet, J., Chaumont, M., & Fouchez, D. 2019, A&A, 627, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Paszke, A., Gross, S., Massa, F., et al. 2019, ArXiv e-prints [arXiv:1912.01703] [Google Scholar]
  31. PLAsTiCC-team (Allam, T. Jr., et al.) 2018, ArXiv e-prints [arXiv:1810.00001] [Google Scholar]
  32. Qu, H., Sako, M., Möller, A., & Doux, C. 2021, AJ, 162, 67 [NASA ADS] [CrossRef] [Google Scholar]
  33. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1985, Learning internal representations by error propagation, Tech. rep. (San Diego La Jolla Inst for Cognitive Science: California Univ.) [CrossRef] [Google Scholar]
  34. Sainte Fare Garnot, V., Landrieu, L., Giordano, S., & Chehata, N. 2019, ArXiv e-prints [arXiv:1911.07757] [Google Scholar]
  35. Sako, M., Bassett, B., Becker, A. C., et al. 2014, PASP, 130, 064002 [Google Scholar]
  36. Sharir, G., Noy, A., & Zelnik-Manor, L. 2021, ArXiv e-prints [arXiv:2103.13915] [Google Scholar]
  37. Shi, X., Chen, Z., Wang, H., et al. 2015, ArXiv e-prints [arXiv:1506.04214] [Google Scholar]
  38. Tran, D., Bourdev, L., Fergus, R., Torresani, L., & Paluri, M. 2014, ArXiv eprints [arXiv:1412.0767] [Google Scholar]
  39. Vaswani, A., Shazeer, N., Parmar, N., et al. 2017, ArXiv e-prints [arXiv:1706.03762] [Google Scholar]
  40. Wang, S., Li, B. Z., Khabsa, M., Fang, H., & Ma, H. 2020, ArXiv e-prints [arXiv:2006.04768] [Google Scholar]
  41. Yan, S., Xiong, X., Arnab, A., et al. 2022, ArXiv e-prints [arXiv:2201.04288] [Google Scholar]
  42. Yuan, Y., & Lin, L. 2021, IEEE J. Sel. Top. Appl. Earth Observ. Rem. Sensing, 14, 474 [NASA ADS] [CrossRef] [Google Scholar]
  43. Zhou, J., Wei, C., Wang, H., et al. 2022, ArXiv e-prints [arXiv:2111.07832] [Google Scholar]

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