Open Access
Issue |
A&A
Volume 694, February 2025
|
|
---|---|---|
Article Number | A267 | |
Number of page(s) | 17 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/202451756 | |
Published online | 24 February 2025 |
- Adler, R. J., & Taylor, J. E. 2007, in Random Fields and Geometry (Springer), Springer Monographs in Mathematics [Google Scholar]
- Angelopoulos, A. N., Kohli, A. P., Bates, S., et al. 2022a, in Proceedings of the 39th International Conference on Machine Learning (PMLR), 717 [Google Scholar]
- Angelopoulos, A. N., Bates, S., Malik, J., & Jordan, M. I. 2022b, in International Conference on Learning Representations [Google Scholar]
- Bates, S., Angelopoulos, A., Lei, L., Malik, J., & Jordan, M. 2021, J. ACM, 68, 43:1 [CrossRef] [Google Scholar]
- Belhasin, O., Romano, Y., Freedman, D., Rivlin, E., & Elad, M. 2024, IEEE Trans. Pattern Anal. Mach. Intell., 46, 3321 [Google Scholar]
- Bobin, J., Starck, J.-L., Sureau, F., & Fadili, J. 2012, Adv. Astron., 2012, e703217 [CrossRef] [Google Scholar]
- Boucheron, S., Lugosi, G., & Bousquet, O. 2004, in Advanced Lectures on Machine Learning (Springer), 208 [Google Scholar]
- Cai, X., Pereyra, M., & McEwen, J. D. 2018a, MNRAS, 480, 4154 [Google Scholar]
- Cai, X., Pereyra, M., & McEwen, J. D. 2018b, MNRAS, 480, 4170 [NASA ADS] [CrossRef] [Google Scholar]
- Durmus, A., Moulines, É., & Pereyra, M. 2018, SIAM J. Imaging Sci., 11, 473 [CrossRef] [Google Scholar]
- Fadili, M. J., & Bullmore, E. T. 2004, NeuroImage, 23, 1112 [CrossRef] [Google Scholar]
- Horwitz, E., & Hoshen, Y. 2022, arXiv e-prints [arXiv:2211.09795] [Google Scholar]
- Jeffrey, N., & Wandelt, B. D. 2020, in Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020) [Google Scholar]
- Jeffrey, N., Lanusse, F., Lahav, O., & Starck, J.-L. 2020, MNRAS, 492, 5023 [Google Scholar]
- Jeffrey, N., Alsing, J., & Lanusse, F. 2021, MNRAS, 501, 954 [Google Scholar]
- Kaiser, N., & Squires, G. 1993, ApJ, 404, 441 [Google Scholar]
- Kilbinger, M. 2015, Rep. Prog. Phys., 78, 086901 [Google Scholar]
- Klatzer, T., Dobson, P., Altmann, Y., et al. 2024, SIAM J. Imaging Sci., 17, 1078 [CrossRef] [Google Scholar]
- Kratochvil, J. M., Haiman, Z., & May, M. 2010, Phys. Rev. D, 81, 043519 [Google Scholar]
- Kutiel, G., Cohen, R., Elad, M., Freedman, D., & Rivlin, E. 2023, in ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare [Google Scholar]
- Lanusse, F., Starck, J.-L., Leonard, A., & Pires, S. 2016, A&A, 591, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Laumont, R., Bortoli, V. D., Almansa, A., et al. 2022, SIAM J. Imaging Sci., 15, 701 [CrossRef] [Google Scholar]
- Lei, J., & Wasserman, L. 2014, J. R. Stat. Soc., B: Stat. Methodol., 76, 71 [CrossRef] [Google Scholar]
- Liaudat, T. I., Mars, M., Price, M. A., et al. 2024, RASTI, 3, 505 [NASA ADS] [Google Scholar]
- Lindeberg, T. 1993, Int. J. Comput. Vis., 11, 283 [CrossRef] [Google Scholar]
- Liu, J., Petri, A., Haiman, Z., et al. 2015, Phys. Rev. D, 91, 063507 [Google Scholar]
- Marian, L., Smith, R. E., Hilbert, S., & Schneider, P. 2013, MNRAS, 432, 1338 [Google Scholar]
- McEwen, J. D., Liaudat, T. I., Price, M. A., Cai, X., & Pereyra, M. 2023, arXiv e-prints [arXiv:2307.00056] [Google Scholar]
- Mobasher, B., Capak, P., Scoville, N. Z., et al. 2007, ApJS, 172, 117 [NASA ADS] [CrossRef] [Google Scholar]
- Narnhofer, D., Habring, A., Holler, M., & Pock, T. 2024, SIAM J. Imaging Sci., 17, 301 [CrossRef] [Google Scholar]
- Osato, K., Liu, J., & Haiman, Z. 2021, MNRAS, 502, 5593 [Google Scholar]
- Parzer, F., Jethwa, P., Boecker, A., et al. 2023, A&A, 674, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Parzer, F., Kirisits, C., & Scherzer, O. 2024, J. Math. Imaging Vis., 66, 697 [CrossRef] [Google Scholar]
- Pereyra, M. 2016, Stat. Comput., 26, 745 [CrossRef] [Google Scholar]
- Pereyra, M. 2017, SIAM J. Imaging Sci., 10, 285 [CrossRef] [Google Scholar]
- Pereyra, M., Mieles, L. V., & Zygalakis, K. C. 2020, SIAM J. Imaging Sci., 13, 905 [CrossRef] [Google Scholar]
- Price, M. A., Cai, X., McEwen, J. D., et al. 2020, MNRAS, 492, 394 [Google Scholar]
- Price, M. A., McEwen, J. D., Cai, X., et al. 2021, MNRAS, 506, 3678 [NASA ADS] [CrossRef] [Google Scholar]
- Remy, B., Lanusse, F., Jeffrey, N., et al. 2023, A&A, 672, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Repetti, A., Pereyra, M., & Wiaux, Y. 2019, SIAM J. Imaging Sci., 12, 87 [Google Scholar]
- Ribli, D., Pataki, B. Á., & Csabai, I. 2019a, Nat. Astron., 3, 93 [Google Scholar]
- Ribli, D., Pataki, B. Á., Zorrilla Matilla, J. M., et al. 2019b, MNRAS, 490, 1843 [CrossRef] [Google Scholar]
- Romano, Y., Patterson, E., & Candes, E. 2019, in Advances in Neural Information Processing Systems (Curran Associates, Inc.), 32 [Google Scholar]
- Romano, Y., Sesia, M., & Candes, E. 2020, in Advances in Neural Information Processing Systems (Curran Associates, Inc.), 33 [Google Scholar]
- Sadinle, M., Lei, J., & Wasserman, L. 2019, J. Am. Stat. Assoc., 114, 223 [CrossRef] [Google Scholar]
- Schrabback, T., Hartlap, J., Joachimi, B., et al. 2010, A&A, 516, A63 [CrossRef] [EDP Sciences] [Google Scholar]
- Scoville, N., Abraham, R. G., Aussel, H., et al. 2007, ApJS, 172, 38 [NASA ADS] [CrossRef] [Google Scholar]
- Shan, H., Kneib, J.-P., Comparat, J., et al. 2014, MNRAS, 442, 2534 [NASA ADS] [CrossRef] [Google Scholar]
- Shirasaki, M., Yoshida, N., & Ikeda, S. 2019, Phys. Rev. D, 100, 043527 [NASA ADS] [CrossRef] [Google Scholar]
- Shirasaki, M., Moriwaki, K., Oogi, T., et al. 2021, MNRAS, 504, 1825 [NASA ADS] [CrossRef] [Google Scholar]
- Starck, J.-L., Elad, M., & Donoho, D. 2005, IEEE Trans. Image Process., 14, 1570 [Google Scholar]
- Starck, J.-L., Fadili, J., & Murtagh, F. 2007, IEEE Trans. Image Process., 16, 297 [Google Scholar]
- Starck, J.-L., Donoho, D. L., Fadili, M. J., & Rassat, A. 2013, A&A, 552, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Starck, J.-L., Themelis, K. E., Jeffrey, N., Peel, A., & Lanusse, F. 2021, A&A, 649, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Steinwart, I., & Christmann, A. 2011, Bernoulli, 17, 211 [CrossRef] [MathSciNet] [Google Scholar]
- Takeuchi, I., Le, Q. V., Sears, T. D., & Smola, A. J. 2006, J. Mach. Learn. Res., 7, 1231 [Google Scholar]
- Teneggi, J., Tivnan, M., Stayman, W., & Sulam, J. 2023, in Proceedings of the 40th International Conference on Machine Learning (PMLR), 33940 [Google Scholar]
- Vovk, V., Gammerman, A., & Shafer, G. 2005, Algorithmic Learning in a Random World (Springer-Verlag) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.