{"id":26,"date":"2021-01-08T13:51:24","date_gmt":"2021-01-08T12:51:24","guid":{"rendered":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/?page_id=26"},"modified":"2026-03-23T18:28:06","modified_gmt":"2026-03-23T17:28:06","slug":"publications","status":"publish","type":"page","link":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<p>The complete list of my publications is available on the <a href=\"https:\/\/ui.adsabs.harvard.edu\/search\/filter_database_fq_database=AND&amp;filter_database_fq_database=database%3A%22astronomy%22&amp;fq=%7B!type%3Daqp%20v%3D%24fq_database%7D&amp;fq_database=(database%3A%22astronomy%22)&amp;q=%20%20author%3A%22Cornu%2C%20D%22%20year%3A2015-%20%20collection%3A%22astronomy%22&amp;sort=date%20desc%2C%20bibcode%20desc&amp;p_=0\" target=\"_blank\" rel=\"noreferrer noopener\">NASA\/ADS<\/a> database.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">First author, supervisor, or major contribution papers<\/h2>\n\n\n\n<p class=\"has-small-font-size\"><strong>&#8211; 2026 &#8211; YOLO-CIANNA: Galaxy detection with deep learning in radio data<\/strong>: <strong>II. MINERVA: Winning the SKA SDC2 using a generalized 3D-YOLO network<\/strong>, Cornu, D.; Semelin, B.; Salom\u00e9, P.; Lu, X.; Aicardi, S.; Freundlich, J.; Mertens, F.; Marchal, A.; Sainton, G.; Combes, F.; Tasse, C., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2026A%26A...707A.203C\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A V707, A203<\/a><a href=\"https:\/\/arxiv.org\/abs\/2509.12082\" target=\"_blank\" rel=\"noreferrer noopener\">.<\/a><br><strong>&#8211; 2025 &#8211; Identification of molecular line emission using Convolutional Neural Networks. Investigating molecular complexity,<\/strong> Kessler, N.; Csengeri T.; Cornu D.; Bontemps S.; Bouscasse, L., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2025arXiv251009119K\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 704, A324<\/a>.<br><strong>&#8211; 2025 &#8211;<\/strong> <strong>A New Dust Map of the Milky Way I: Principal Features<\/strong>, Marshall, D. J.; Montillaud, J.; Cambr\u00e9sy, L.; Cornu, D., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2025A%26A...704A.118M\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 704, A118<\/a>.<br><strong>&#8211; 2025 &#8211; Combining summary statistics with simulation-based inference for the 21 cm signal from the Epoch of Reionization<\/strong>, Semelin, B.; Meriot, R; Mishra, A; Cornu, D., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2025A%26A...698A..35S\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 698, A35<\/a>.<br><strong>&#8211; 2025 &#8211; Comparison of Bayesian inference methods using the Loreli II database of hydro-radiative simulations of the 21-cm signal<\/strong>, Meriot, R.; Semelin, B.; Cornu, D., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2025A%26A...698A..80M\/abstract\">A&amp;A, 698, A80<\/a>.<br><strong>&#8211; 2025 &#8211; The Galaxy Activity, Torus, and Outflow Survey (GATOS). VI. Black hole mass estimation using machine learning<\/strong>, Poitevineau R., Combes F., Garcia-Burillo S., Cornu D., et al., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2025A%26A...693A.311P\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 693, A311<\/a><a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2024arXiv241118200P\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">.<\/a><br><strong>&#8211;<\/strong> <strong>2024 &#8211;<\/strong> <strong>YOLO-CIANNA: Galaxy detection with deep learning in radio data: I. A new YOLO-inspired source detection method applied to the SKAO SDC1<\/strong>, Cornu, D.; Salom\u00e9, P.; Semelin, B.; Marchal, A.; Freundlich, J.; Aicardi, S.; Lu, X.; Sainton, G.; Mertens, F.; Combes, F.; Tasse, C., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2024A%26A...690A.211C\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 690, A211<\/a><br><strong>&#8211;<\/strong> <strong>2023 &#8211; SKA Science Data Challenge 2: analysis and results,<\/strong> Harltey, P; Bonaldi, A; Braun, R; et al., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2023arXiv230307943H\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">MNRAS, Vol.523, Issue 2, pp.1967-1993<\/a>, leading author for team MINERVA<br><strong>&#8211; 2023 &#8211; Machine Learning to facilitate the study of complex organic molecules in hot cores<\/strong>, Kessler, N. ; Csengeri, T. ; Cornu, D. ; Bontemps, S., SF2A Proceedings 2023, <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2023sf2a.conf..303K\/abstract\">2023sf2a.conf..303K<\/a><br><strong>&#8211; 2022 &#8211; 3D extinction mapping of the Milky Way using Convolutional Neural Networks: Presentation of the method and demonstration in the Carina Arm region<\/strong>, Cornu, D.; Montillaud, J.; Marshall, D. J.; Robin, A. C.; Cambresy, L., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2022arXiv220105571C\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">arxiv-2201.05571<\/a><br><strong>&#8211; 2021 &#8211; A Neural Network-based methodology to select Young Stellar Object candidates from IR surveys<\/strong>, Cornu, D. ; Montillaud, J., <a aria-label=\"A&amp;A, Vol. 647, id.A116 (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2021A%26A...647A.116C\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 647, A116<\/a><br><strong>&#8211; 2020 &#8211; Modeling the 3D Milky Way using Machine Learning with Gaia and infrared surveys<\/strong>, Cornu, D., <em>PhD thesis<\/em>, <a aria-label=\" (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2020arXiv201001431C\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">arxiv-2010.0143<\/a><br><strong>&#8211; 2019 &#8211; Deep learning for the selection of Young Stellar Object candidates from IR surveys<\/strong>, Cornu, D.; Montillaud, J., <a aria-label=\"SF2A-2019 Proceedings, pp.73-76 (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2019sf2a.conf...73C\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">SF2A-2019 Proceedings, pp.73-76<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Minor contribution or collaboration papers<\/h2>\n\n\n\n<p class=\"has-small-font-size\"><strong>&#8211; 2025 &#8211; Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment<\/strong>, Bonaldi A., Hartley P.; Braun R.; Purser S.; Acharya A.; et al., <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2025MNRAS.543.1092B\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">MNRAS, 543, Issue 2, pp 1092-1119<\/a>.<br><strong>&#8211; 2021 &#8211; Deciphering the evolution of the Milky Way discs : The Gaia APOGEE Kepler giant stars &amp; Besan\u00e7on Galaxy Model<\/strong>, Lagarde, N. ; Reyl\u00e9, C. ; Chiappini, C. ; Mor, R. ; Anders, F. ; Figueras, F. ; et al.,<a href=\"https:\/\/ui.adsabs.harvard.edu\/link_gateway\/2021arXiv210615616L\/arxiv:2106.15616\" target=\"_blank\" rel=\"noreferrer noopener\"> <\/a><a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2021A%26A...654A..13L\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, Vol. 654, id.A13<\/a><br><strong>&#8211;<\/strong> <strong>2019 &#8211; Multi-scale analysis of the Monoceros OB 1 star-forming region. I. The dense core population<\/strong>, Montillaud, J.; Juvela, M.; Vastel, C.; He, J.; Liu, T.; Ristorcelli, I.; Eden, D. J.; et al., <a aria-label=\"A&amp;A, Vol. 631, id.L1 (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2019A%26A...631L...1M\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 631, L1<\/a><br><strong>&#8211;<\/strong> <strong>2019 &#8211; Multi-scale analysis of the Monoceros OB 1 star-forming region. II. Colliding filaments in the Monoceros OB1 molecular cloud<\/strong>, Montillaud, J.; Juvela, M.; Vastel, C.; He, J.; Liu, T.; Ristorcelli, I.; Eden, D. J. ; et al., <a aria-label=\"A&amp;A, Vol. 631, id.A3 (s\u2019ouvre dans un nouvel onglet)\" href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2019A%26A...631A...3M\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">A&amp;A, 631, A3<\/a><br><strong>&#8211;<\/strong> <strong>2019 &#8211; SCOPE : SCUBA-2 Continuum Observations of Pre-protostellar Evolution &#8211; survey description and compact source catalog<\/strong>, Eden, D. J. ; Liu, T.; Kim, K.; Juvela, M. ; et al. , <a href=\"https:\/\/ui.adsabs.harvard.edu\/abs\/2019MNRAS.485.2895E\/abstract\" target=\"_blank\" rel=\"noreferrer noopener\">MNRS, 485, Issue 2, pp.2895-2908<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The complete list of my publications is available on the NASA\/ADS database. First author, supervisor, or major contribution papers &#8211; 2026 &#8211; YOLO-CIANNA: Galaxy detection with deep learning in radio data: II. MINERVA: Winning the SKA SDC2 using a generalized &hellip; <a href=\"https:\/\/vm-weblerma.obspm.fr\/dcornu\/publications\/\">Continuer la lecture <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":37,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-26","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages\/26","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/comments?post=26"}],"version-history":[{"count":103,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages\/26\/revisions"}],"predecessor-version":[{"id":716,"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/pages\/26\/revisions\/716"}],"wp:attachment":[{"href":"https:\/\/vm-weblerma.obspm.fr\/dcornu\/wp-json\/wp\/v2\/media?parent=26"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}