Open Access
Issue
A&A
Volume 686, June 2024
Article Number L7
Number of page(s) 9
Section Letters to the Editor
DOI https://doi.org/10.1051/0004-6361/202450223
Published online 30 May 2024
  1. Agarwal, S., Tosi, N., Breuer, D., et al. 2020, Geophys. J. Int., 222, 1656 [NASA ADS] [CrossRef] [Google Scholar]
  2. Baumeister, P., & Tosi, N. 2023, A&A, 676, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Baumeister, P., Padovan, S., Tosi, N., et al. 2020, ApJ, 889, 42 [Google Scholar]
  4. Bolton, S. J., Adriani, A., Adumitroaie, V., et al. 2017, Science, 356, 821 [Google Scholar]
  5. Borchani, H., Varando, G., Bielza, C., & Larranaga, P. 2015, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5, 216 [CrossRef] [Google Scholar]
  6. Caruana, R. 2002, Neural Networks: Tricks of the Trade (Springer), 165 [Google Scholar]
  7. Chabrier, G., Mazevet, S., & Soubiran, F. 2019, ApJ, 872, 51 [NASA ADS] [CrossRef] [Google Scholar]
  8. Cui, L., Xie, X., Shen, Z., Lu, R., & Wang, H. 2018, IISE Trans. Healthcare Syst. Eng., 8, 291 [CrossRef] [Google Scholar]
  9. Debras, F., & Chabrier, G. 2018, A&A, 609, A97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Debras, F., & Chabrier, G. 2019, ApJ, 872, 100 [Google Scholar]
  11. Durante, D., Parisi, M., Serra, D., et al. 2020, Geophys. Res. Lett., 47, e86572 [NASA ADS] [CrossRef] [Google Scholar]
  12. Galanti, E., Kaspi, Y., & Guillot, T. 2023, Geophys. Res. Lett., 50, e2022GL102321 [NASA ADS] [CrossRef] [Google Scholar]
  13. Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning, Adaptive Computation and Machine Learning (London: The MIT Press) [Google Scholar]
  14. Guillot, T., & Morel, P. 1995, A&AS, 109, 109 [NASA ADS] [Google Scholar]
  15. Guillot, T., Miguel, Y., Militzer, B., et al. 2018, Nature, 555, 227 [Google Scholar]
  16. Gupta, P., Atreya, S. K., Steffes, P. G., et al. 2022, Planet. Sci. J., 3, 159 [NASA ADS] [CrossRef] [Google Scholar]
  17. Haldemann, J., Ksoll, V., Walter, D., et al. 2023, A&A, 672, A180 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. He, K., Zhang, X., Ren, S., & Sun, J. 2015, Proceedings of the IEEE International Conference on Computer Vision, 1026 [Google Scholar]
  19. Helled, R., Stevenson, D. J., Lunine, J. I., et al. 2022, Icarus, 378, 114937 [NASA ADS] [CrossRef] [Google Scholar]
  20. Howard, S., & Guillot, T. 2023, A&A, 672, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Howard, S., Guillot, T., Bazot, M., et al. 2023a, A&A, 672, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Howard, S., Guillot, T., Markham, S., et al. 2023b, A&A, 680, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Hubbard, W. B. 2013, ApJ, 768 [Google Scholar]
  24. Hubbard, W. B., & Marley, M. S. 1989, Icarus, 78, 102 [Google Scholar]
  25. Iess, L., Folkner, W. M., Durante, D., et al. 2018, Nature, 555, 220 [NASA ADS] [CrossRef] [Google Scholar]
  26. Kaspi, Y., Galanti, E., Hubbard, W. B., et al. 2018, Nature, 555, 223 [Google Scholar]
  27. Kaspi, Y., Galanti, E., Park, R. S., et al. 2023, Nat. Astron., 7, 1463 [Google Scholar]
  28. Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
  29. LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436 [Google Scholar]
  30. Li, C., Ingersoll, A., Bolton, S., et al. 2020, Nat. Astron., 4, 609 [Google Scholar]
  31. Lindal, G. F. 1992, AJ, 103, 967 [Google Scholar]
  32. Lundberg, S. M., & Lee, S. I. 2017, in Advances in Neural Information Processing Systems 30, eds. I. Guyon, U. V. Luxburg, S. Bengio, et al. (Curran Associates, Inc.), 4765 [Google Scholar]
  33. Lyon, S., & Johnson, J. 1992, LANL Report LA-UR-92-3407 [Google Scholar]
  34. Miguel, Y., Guillot, T., & Fayon, L. 2016, A&A, 596, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Miguel, Y., Bazot, M., Guillot, T., et al. 2022, A&A, 662, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Militzer, B. 2023, ApJ, 953, 111 [NASA ADS] [CrossRef] [Google Scholar]
  37. Militzer, B., Wahl, S., & Hubbard, W. B. 2019, ApJ, 879, 78 [Google Scholar]
  38. Militzer, B., Hubbard, W. B., Wahl, S., et al. 2022, Planet. Sci. J., 3, 185 [NASA ADS] [CrossRef] [Google Scholar]
  39. Mohr, P. J., Taylor, B. N., & Newell, D. B. 2012, Rev. Mod. Phys., 84, 1527 [NASA ADS] [CrossRef] [Google Scholar]
  40. Morales, M. A., Hamel, S., Caspersen, K., & Schwegler, E. 2013, Phys. Rev. B, 87, 174105 [NASA ADS] [CrossRef] [Google Scholar]
  41. Movshovitz, N. 2019, CMS-Planet GitHub Repository, version 2.0, https://github.com/nmovshov/CMS-planet [Google Scholar]
  42. Movshovitz, N., Fortney, J. J., Mankovich, C., Thorngren, D., & Helled, R. 2020, ApJ, 891, 109 [Google Scholar]
  43. Nettelmann, N. 2017, A&A, 606, A139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Nettelmann, N., Movshovitz, N., Ni, D., et al. 2021, Planet. Sci. J., 2, 241 [NASA ADS] [CrossRef] [Google Scholar]
  45. Paszke, A., Gross, S., Massa, F., et al. 2019, Advances in Neural Information Processing Systems, 32 [Google Scholar]
  46. Reyes, O., & Ventura, S. 2019, Int. J. Neural Syst., 29, 1950014 [CrossRef] [Google Scholar]
  47. Riddle, A. C., & Warwick, J. W. 1976, Icarus, 27, 457 [NASA ADS] [CrossRef] [Google Scholar]
  48. Samek, W., Montavon, G., Lapuschkin, S., Anders, C. J., & Müller, K.-R. 2021, Proc. IEEE, 109, 247 [CrossRef] [Google Scholar]
  49. Seiff, A., Kirk, D. B., Knight, T. C. D., et al. 1998, J. Geophys. Res., 103, 22857 [NASA ADS] [CrossRef] [Google Scholar]
  50. Serenelli, A. M., & Basu, S. 2010, ApJ, 719, 865 [NASA ADS] [CrossRef] [Google Scholar]
  51. Shrikumar, A., Greenside, P., & Kundaje, A. 2017, International Conference on Machine Learning, PMLR, 3145 [Google Scholar]
  52. Tiesinga, E., Mohr, P. J., Newell, D. B., & Taylor, B. N. 2021, J. Phys. Chem. Ref. Data, 50, 033105 [NASA ADS] [CrossRef] [Google Scholar]
  53. von Zahn, U., Hunten, D. M., & Lehmacher, G. 1998, J. Geophys. Res., 103, 22815 [NASA ADS] [CrossRef] [Google Scholar]
  54. Wisdom, J., & Hubbard, W. B. 2016, Icarus, 267, 315 [NASA ADS] [CrossRef] [Google Scholar]
  55. Wong, M. H., Mahaffy, P. R., Atreya, S. K., Niemann, H. B., & Owen, T. C. 2004, Icarus, 171, 153 [Google Scholar]
  56. Zhao, Y., & Ni, D. 2022, A&A, 658, A201 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Zharkov, V. N., & Trubitsyn, V. P. 1978, Physics of Planetary Interiors (Pachart Publishing House), 388 [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.