| The impact of satellite trails on Hubble Space Telescope observations S Kruk, P García-Martín, M Popescu, B Aussel, S Dillmann, ME Perks, ... Nature Astronomy 7 (3), 262-268, 2023 | 29 | 2023 |
| The Cloudspotting on Mars citizen science project: Seasonal and spatial cloud distributions observed by the Mars Climate Sounder M Slipski, A Kleinböhl, S Dillmann, DM Kass, J Reimuller, M Wronkiewicz, ... Icarus 419, 115777, 2024 | 3 | 2024 |
| Representation learning for time-domain high-energy astrophysics: Transient candidates catalog of X-ray flares and dips S Dillmann, JR Martınez-Galarza, R Soria, R Di Stefano, V Kashyap Zenodo, 2025 | 2 | 2025 |
| A Poisson Process AutoDecoder for X-ray Sources Y Song, VA Villar, JR Martinez-Galarza, S Dillmann arXiv preprint arXiv:2502.01627, 2025 | | 2025 |
| Representation learning for time-domain high-energy astrophysics: Discovery of extragalactic fast X-ray transient XRT 200515 S Dillmann, JR Martínez-Galarza, R Soria, RD Stefano, VL Kashyap Monthly Notices of the Royal Astronomical Society 537 (2), 931-955, 2025 | | 2025 |
| Hyperluminous Supersoft X-ray Sources in the Chandra Catalog A Sacchi, K Paggeot, S Dillmann, JR Martinez-Galarza, P Kosec arXiv preprint arXiv:2502.00097, 2025 | | 2025 |
| X-ray transient discoveries with machine learning J Martinez Galarza, S Dillmann, V Kashyap, R Di Stefano AAS/High Energy Astrophysics Division 21, 108.11, 2024 | | 2024 |
| Intriguing eclipses and time variability in 47 Tucanae's quiescent low-mass X-ray binary X5 R Kaur, R Di Stefano, V Kashyap, J McDowell, S Dillmann, M Patankar, ... American Astronomical Society Meeting Abstracts 56 (2), 105.22, 2024 | | 2024 |
| A Poisson-process AutoDecoder for Astrophysical, Time-variable, X-ray Sources Y Song, A Villar, JR Martínez-Galarza Machine Learning and the Physical Sciences Workshop@ NeurIPS 2024, 2024 | | 2024 |
| Adventures in Planet Discovery in X-Ray Binaries R Di Stefano, R Soria, V Kashyap, R Urquhart, C Painter, ... AAS/High Energy Astrophysics Division 55 (4), 116.103, 2023 | | 2023 |
| Data-Driven Discovery: Machine Learning for the Detection and Characterization of X-ray Transients S Dillmann Imperial College London, 2023 | | 2023 |
| The Impact of Satellite Trails on Hubble Space Telescope Observations: satellite classifications M Popescu, S Dillmann, ME Perks, T Lund, B Merin, B Aussel, R Thomson, ... Zenodo, 2022 | | 2022 |
| Cloudspotting on Mars: Mapping Mesospheric Clouds through Citizen Science M Slipski, A Kleinboehl, S Dillmann, JD Reimuller, M Wronkiewicz, ... AGU Fall Meeting Abstracts 2022, P33D-08, 2022 | | 2022 |
| Artificial Gravity Design for the Arceus Mars Transit Vehicle S Dillmann | | 2021 |
| AI/ML Models and Tools for Processing and Analysis of Observational Data from the Habitable Worlds Observatory M Ansdell, E Gharib-Nezhad, GB de Fourtou, S Dillmann, B Dean, ... AGU24, 0 | | |
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