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Home All issues Volume 650 (June 2021) A&A, 650 (2021) A177 References
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Issue
A&A
Volume 650, June 2021
Article Number A177
Number of page(s) 8
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202140375
Published online 24 June 2021
  1. Abadi, M., Barham, P., Chen, J., et al. 2016, TensorFlow: a System for Large-Scale Machine Learning (Berkeley: Usenix association) [Google Scholar]
  2. Alibert, Y., & Venturini, J. 2019, A&A, 626, A21 [CrossRef] [EDP Sciences] [Google Scholar]
  3. Anderson, W. W., & Ahrens, T. J. 1994, J. Geophys. Res. Solid Earth, 99, 4273 [NASA ADS] [CrossRef] [Google Scholar]
  4. Atkins, C., Valentine, A. P., Tackley, P. J., & Trampert, J. 2016, Phys. Earth Planet. Inter., 257, 171 [CrossRef] [Google Scholar]
  5. Batalha, N. M. 2014, PNAS, 111, 12647 [NASA ADS] [CrossRef] [Google Scholar]
  6. Baumeister, P., Padovan, S., Tosi, N., Montavon, G., & Nettelmann, N. 2020, ApJ, 889, 42 [CrossRef] [Google Scholar]
  7. Benneke, B., Wong, I., Piaulet, C., et al. 2019, ApJ, 887, L14 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bezacier, L., Journaux, B., Perrillat, J.-P., et al. 2014, J. Chem. Phys., 141, 104505 [Google Scholar]
  9. Bishop, C. M. 1994, Mixture Density Networks, Tech. Rep. NCRG/94/004 [Google Scholar]
  10. Boujibar, A., Driscoll, P., & Fei, Y. 2020, J. Geophys. Res. Planets, 125, e2019JE006124 [CrossRef] [Google Scholar]
  11. Brugger, B., Mousis, O., Deleuil, M., & Deschamps, F. 2017, ApJ, 850, 93 [Google Scholar]
  12. Chollet, F., et al. 2015, Keras, https://keras.io [Google Scholar]
  13. Connolly, J. A. D. 2009, Geochem. Geophys. Geosyst., 10, Q10014 [NASA ADS] [CrossRef] [Google Scholar]
  14. Dorn, C., Khan, A., Heng, K., et al. 2015, A&A, 577, A83 [EDP Sciences] [Google Scholar]
  15. Dorn, C., Venturini, J., Khan, A., et al. 2017, A&A, 597, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Dorn, C., Bower, D. J., & Rozel, A. 2018, in Handbook of Exoplanets, Assessing the Interior Structure of Terrestrial Exoplanets with Implications for Habitability (Berlin: Springer) [Google Scholar]
  17. Driscoll, P. E. 2018, Handbook of Exoplanets, Planetary interiors, magnetic fields, and habitability (Berlin: Springer), 1 [Google Scholar]
  18. Feistel, R., & Wagner, W. 2006, J. Phys. Chem. Ref. Data, 35, 1021 [Google Scholar]
  19. Foley, B. J. 2019, ApJ, 875, 72 [NASA ADS] [CrossRef] [Google Scholar]
  20. Fujii, Y., Kawahara, H., Suto, Y., et al. 2010, ApJ, 715, 866 [NASA ADS] [CrossRef] [Google Scholar]
  21. Gillon, M., Triaud, A. H. M. J., Demory, B. O., et al. 2017, Nature, 542, 456 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  22. Godolt, M., Tosi, N., Stracke, B., et al. 2019, A&A, 625, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (Cambridge: MIT Press) [Google Scholar]
  24. Hoolst, T. V., Noack, L., & Rivoldini, A. 2019, Adv. Phys. X, 4, 1630316 [Google Scholar]
  25. Ioffe, S., & Szegedy, C. 2015, ArXiv preprint [arXiv:1502.03167] [Google Scholar]
  26. Kingma, D. P., & Ba, J. 2014, ArXiv preprint [arXiv:1412.6980] [Google Scholar]
  27. Kite, E. S., & Ford, E. B. 2018, ApJ, 864, 75 [NASA ADS] [CrossRef] [Google Scholar]
  28. Kohavi, R. 1995, A study of cross-validation and bootstrap for accuracy estimation and model selection, Proceedings of the 14th International Joint Conference on Artificial Intelligence, Montreal, Canada [Google Scholar]
  29. Kreidberg, L., Bean, J. L., Désert, J.-M., et al. 2014, ApJ, 793, L27 [NASA ADS] [CrossRef] [Google Scholar]
  30. LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436 [Google Scholar]
  31. Lillo-Box, J., Figueira, P., Leleu, A., et al. 2020, A&A, 642, A121 [CrossRef] [EDP Sciences] [Google Scholar]
  32. Lorenzo, A., & Unterborn, C. 2018, https://doi.org/10.5281/zenodo.1208161 [Google Scholar]
  33. Martin, C., & Duhaime, D. 2019, https://doi.org/10.5281/zenodo.2578015 [Google Scholar]
  34. McCauliff, S. D., Jenkins, J. M., Catanzarite, J., et al. 2015, ApJ, 806, 6 [NASA ADS] [CrossRef] [Google Scholar]
  35. Montañés-Rodríguez, P., Pallé, E., Goode, P. R., & Martín-Torres, F. J. 2006, ApJ, 651, 544 [NASA ADS] [CrossRef] [Google Scholar]
  36. Montavon, G., Orr, G., & Müller, K.-R. 2012, Neural Networks-tricks of the Trade, 2nd edn. (Berlin: Springer) [CrossRef] [Google Scholar]
  37. Noack, L., Snellen, I., & Rauer, H. 2017, Space Sci. Rev., 212, 877 [NASA ADS] [CrossRef] [Google Scholar]
  38. Pearson, K. A., Palafox, L., & Griffith, C. A. 2018, MNRAS, 474, 478 [NASA ADS] [CrossRef] [Google Scholar]
  39. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  40. Pinhas, A., Madhusudhan, N., Gandhi, S., & MacDonald, R. 2019, MNRAS, 482, 1485 [Google Scholar]
  41. Raymond, S. N., Quinn, T., & Lunine, J. I. 2007, Astrobiology, 7, 66 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  42. Rogers, L. A., & Seager, S. 2010, ApJ, 712, 974 [NASA ADS] [CrossRef] [Google Scholar]
  43. Schanche, N., Cameron, A. C., Hébrard, G., et al. 2019, MNRAS, 483, 5534 [NASA ADS] [CrossRef] [Google Scholar]
  44. Schubert, G., Turcotte, D. L., & Olson, P. 2001, Mantle Convection in the Earth and Planets (New York: Cambridge University Press) [CrossRef] [Google Scholar]
  45. Seager, S., Kuchner, M., Hier-Majumder, C. A., & Militzer, B. 2007, ApJ, 669, 1279 [Google Scholar]
  46. Shallue, C. J., & Vanderburg, A. 2018, AJ, 155, 94 [NASA ADS] [CrossRef] [Google Scholar]
  47. Spiegel, D. S., Fortney, J. J., & Sotin, C. 2014, PNAS, 111, 12622 [NASA ADS] [CrossRef] [Google Scholar]
  48. Sotin, C., Grasset, O., & Mocquet, A. 2007, Icarus, 191, 337 [Google Scholar]
  49. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. 2014, J. Mach. Learn. Res., 15, 1929 [Google Scholar]
  50. Stixrude, L., & Lithgow-Bertelloni, C. 2005, Geophys. J. Int., 162, 610 [NASA ADS] [CrossRef] [Google Scholar]
  51. Stixrude, L., & Lithgow-Bertelloni, C. 2011, Geophys. J. Int., 184, 1180 [NASA ADS] [CrossRef] [Google Scholar]
  52. Tian, F., & Ida, S. 2015, NatGe, 8, 177 [Google Scholar]
  53. Turbet, M., Bolmont, E., Ehrenreich, D., et al. 2020, A&A, 638, A41 [Google Scholar]
  54. Ulmer-Moll, S., Santos, N. C., Figueira, P., Brinchmann, J., & Faria, J. P. 2019, A&A, 630, A135 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Unterborn, C. T., & Panero, W. R. 2019, J. Geophys. Res. Planets, 124, 1704 [CrossRef] [Google Scholar]
  56. Valencia, D., O’Connell, R. J., & Sasselov, D. 2006, Icarus, 181, 545 [NASA ADS] [CrossRef] [Google Scholar]
  57. Wagner, F. W., Tosi, N., Sohl, F., Rauer, H., & Spohn, T., 2012, A&A, 541, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Zeng, L., & Sasselov, D. 2013, PASP, 125, 227 [Google Scholar]
  59. Zhao, Y., Zhang, Y., Geng, M., Jiang, J., & Zou, X. 2019, Geophys. Res. Lett., 46, 5234 [CrossRef] [Google Scholar]

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