A bayesian estimation of the Milky Way's circular velocity curve using Gaia DR3Põder, Sven; Benito Castano, Maria; Pata, Joosep; Kipper, Rain; Ramler, Heleri; Hütsi, Gert; Kolka, Indrek; Thomas, Guillaume F.Astronomy and Astrophysics2023 / art. A134 https://doi.org/10.1051/0004-6361/202346474 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS Detection of stellar wakes in the Milky Way: a deep learning approachPõder, Sven; Pata, Joosep; Benito Castano, Maria; Asensio, Isaac Alonso; Vecchia, Claudio DallaAstronomy and astrophysics2025 / art. A227 https://doi.org/10.1051/0004-6361/202451480 Probing the Milky Way’s dark matter halo in the Gaia and machine learning era = Linnutee galaktika tumeaine halo uurimine Gaia ja masinõppe ajastulPõder, Sven2025 https://www.ester.ee/record=b5973490*est https://digikogu.taltech.ee/et/Item/59573d2a-16c2-4fca-97fb-34b9ac6e61c3 https://doi.org/10.23658/taltech.93/2025 Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learningBazarov, A.; Benito Castano, Maria; Hütsi, Gert; Kipper, Rain; Pata, Joosep; Põder, SvenAstronomy and Computing2022 / art. 100667, 10 p. : ill https://doi.org/10.1016/j.ascom.2022.100667