December 02, 2025 article Open access Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning Monthly Notices of the Royal Astronomical Society DOI: 10.1093/mnras/staf2147 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Gaia DR3 detectability of unresolved binary systems 2024 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access 87 citations Selection Functions in Astronomical Data Modeling, with the Space Density of White Dwarfs as a Worked Example 2021 The Astronomical Journal article Physics and Astronomy Stellar, planetary, and galactic studies Open access 39 citations Estimating the selection function of Gaia DR3 subsamples 2023 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access 35 citations 3 results