Fetching the paper…
Reading the bibliography…
We employ self-supervised representation learning to distill information from 76 million galaxy images from the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys' Data Release 9.
https://arxiv.org/abs/1906.12340
Hendrycks, D., Mazeika, M., Kadavath, S., & Song, D. 2019, arXiv e-prints, arXiv:1906.12340 · 1906
Earlier work this paper cites.
https://arxiv.org/abs/1907.02544
Donahue, J., & Simonyan, K. 2019, arXiv e-prints, arXiv:1907.02544 · 1907
Earlier work this paper cites.
Vega-Ferrero, J., Domínguez Sánchez, H., Bernardi, M., et al. 2021, MNRAS, 506, 1927, doi: 10.1093/mnras/stab594
1927
Earlier work this paper cites.
Turner, E. L., Ostriker, J. P., & Gott, J. R., I. 1984, ApJ, 284, 1, doi: 10.1086/162379
1984
Earlier work this paper cites.
Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525, doi: 10.1086/305772
1998
Earlier work this paper cites.
Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. 2020a, arXiv preprint arXiv:2002.05709
2002
Earlier work this paper cites.
Chen, X., Fan, H., Girshick, R., & He, K. 2020, arXiv preprint arXiv:2003.04297
2003
Earlier work this paper cites.
2006
Earlier work this paper cites.
https://arxiv.org/abs/2006.07733
Grill, J.-B., Strub, F., Altché, F., et al. 2020, arXiv e-prints, arXiv:2006.07733 · 2006
Earlier work this paper cites.
Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179, doi: 10.1111/j.1365-2966.2008.13689.x
2008
Earlier work this paper cites.
https://arxiv.org/abs/2009.07724
Reed, C. J., Metzger, S., Srinivas, A., Darrell, T., & Keutzer, K. 2020, arXiv e-prints, arXiv:2009.07724 · 2009
Earlier work this paper cites.
Treu, T. 2010, ARA&A, 48, 87, doi: 10.1146/annurev-astro-081309-130924
2010
Earlier work this paper cites.
Willett, K. W., Lintott, C. J., Bamford, S. P., et al. 2013, MNRAS, 435, 2835, doi: 10.1093/mnras/stt1458
2013
Earlier work this paper cites.
Collett, T. E. 2015, ApJ, 811, 20, doi: 10.1088/0004-637X/811/1/20
2015
Earlier work this paper cites.
LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436, doi: 10.1038/nature14539
2015
Earlier work this paper cites.
https://arxiv.org/abs/1605.09782
Donahue, J., Krähenbühl, P., & Darrell, T. 2016, arXiv e-prints, arXiv:1605.09782 · 2016
Earlier work this paper cites.
https://arxiv.org/abs/1603.09246
Noroozi, M., & Favaro, P. 2016, arXiv e-prints, arXiv:1603.09246 · 2016
Earlier work this paper cites.
Carrasco, M., Barrientos, L. F., Anguita, T., et al. 2017, ApJ, 834, 210, doi: 10.3847/1538-4357/834/2/210
2017
Earlier work this paper cites.
Diehl, H. T., Buckley-Geer, E. J., Lindgren, K. A., et al. 2017, ApJS, 232, 15, doi: 10.3847/1538-4365/aa8667
2017
Earlier work this paper cites.
Jacobs, C., Glazebrook, K., Collett, T., More, A., & McCarthy, C. 2017, MNRAS, 471, 167, doi: 10.1093/mnras/stx1492
2017
Cited alongside, same era.
Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2017, MNRAS, 472, 1129, doi: 10.1093/mnras/stx2052
2017
Cited alongside, same era.
Lanusse, F., Ma, Q., Li, N., et al. 2018, MNRAS, 473, 3895, doi: 10.1093/mnras/stx1665
2018
Cited alongside, same era.
Pourrahmani, M., Nayyeri, H., & Cooray, A. 2018, ApJ, 856, 68, doi: 10.3847/1538-4357/aaae6a
2018
Cited alongside, same era.
Sonnenfeld, A., Chan, J. H. H., Shu, Y., et al. 2018, PASJ, 70, S29, doi: 10.1093/pasj/psx062
2018
Cited alongside, same era.
Wong, K. C., Sonnenfeld, A., Chan, J. H. H., et al. 2018, ApJ, 867, 107, doi: 10.3847/1538-4357/aae381
Huang, X., Storfer, C., Ravi, V., et al. 2020, ApJ, 894, 78, doi: 10.3847/1538-4357/ab7ffb
2020
Later among the works it cites.
Jaelani, A. T., More, A., Oguri, M., et al. 2020, MNRAS, 495, 1291, doi: 10.1093/mnras/staa1062
2020
Later among the works it cites.
Li, R., Napolitano, N. R., Tortora, C., et al. 2020, ApJ, 899, 30, doi: 10.3847/1538-4357/ab9dfa
2020
Later among the works it cites.
Sonnenfeld, A., Verma, A., More, A., et al. 2020, A&A, 642, A148, doi: 10.1051/0004-6361/202038067
2020
Later among the works it cites.
Stein, G. 2020, georgestein/ml-in-cosmology: Machine learning in cosmology, v1.0, Zenodo, doi: 10.5281/zenodo.4024768
2020
Later among the works it cites.
Walmsley, M., Smith, L., Lintott, C., et al. 2020, MNRAS, 491, 1554, doi: 10.1093/mnras/stz2816
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168, doi: 10.3847/1538-3881/ab089d
2019
Cited alongside, same era.
Gilman, D., Birrer, S., Treu, T., Nierenberg, A., & Benson, A. 2019, MNRAS, 487, 5721, doi: 10.1093/mnras/stz1593
2019
Cited alongside, same era.
Metcalf, R. B., Meneghetti, M., Avestruz, C., et al. 2019, A&A, 625, A119, doi: 10.1051/0004-6361/201832797
2019
Cited alongside, same era.
Paszke, A., Gross, S., Massa, F., et al. 2019, Advances in neural information processing systems, 32
2019
Cited alongside, same era.
Petrillo, C. E., Tortora, C., Vernardos, G., et al. 2019, MNRAS, 484, 3879, doi: 10.1093/mnras/stz189
2019
Cited alongside, same era.
Sonnenfeld, A., Jaelani, A. T., Chan, J., et al. 2019, A&A, 630, A71, doi: 10.1051/0004-6361/201935743
2019
Cited alongside, same era.
2020
Later among the works it cites.
Wong, K. C., Suyu, S. H., Chen, G. C. F., et al. 2020, MNRAS, 498, 1420, doi: 10.1093/mnras/stz3094
2020
Later among the works it cites.
https://arxiv.org/abs/2107.07829
Cañameras, R., Schuldt, S., Shu, Y., et al. 2021, arXiv e-prints, arXiv:2107.07829 · 2021
Closest in time.
Caputi, K. I., Caminha, G. B., Fujimoto, S., et al. 2021, ApJ, 908, 146, doi: 10.3847/1538-4357/abd4d0
2021
Closest in time.
https://arxiv.org/abs/2104.14294
Caron, M., Touvron, H., Misra, I., et al. 2021, arXiv, arXiv:2104.14294 · 2021
Closest in time.
https://arxiv.org/abs/2105.05602
Gentile, F., Tortora, C., Covone, G., et al. 2021, arXiv e-prints, arXiv:2105.05602 · 2021
Closest in time.
https://arxiv.org/abs/2103.01988
Goyal, P., Caron, M., Lefaudeux, B., et al. 2021, arXiv e-prints, arXiv:2103.01988 · 2021
Closest in time.
Huang, X., Storfer, C., Gu, A., et al. 2021, ApJ, 909, 27, doi: 10.3847/1538-4357/abd62b
2021
Closest in time.
Li, R., Napolitano, N. R., Spiniello, C., et al. 2021, ApJ, 923, 16, doi: 10.3847/1538-4357/ac2df0
2021
Closest in time.
https://arxiv.org/abs/2109.00014
Rojas, K., Savary, E., Clément, B., et al. 2021, Strong lens systems search in the Dark Energy Survey using Convolutional Neural Networks · 2021
Closest in time.
https://arxiv.org/abs/2110.13151
Stein, G., Harrington, P., Blaum, J., Medan, T., & Lukic, Z. 2021, arXiv e-prints, arXiv:2110.13151 · 2021
Closest in time.
Zhou, R., Newman, J. A., Mao, Y.-Y., et al. 2021, MNRAS, 501, 3309, doi: 10.1093/mnras/staa3764
2021
Closest in time.
Hayat, M. A., Stein, G., Harrington, P., Lukić, Z., & Mustafa, M. 2021, The Astrophysical Journal Letters, 911, L33, doi: 10.3847/2041-8213/abf2c7
2041
Closest in time.