Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws W Tenachi, R Ibata, FI Diakogiannis The Astrophysical Journal 959 (2), 99, 2023 | 82 | 2023 |
Charting the Galactic Acceleration Field. II. A Global Mass Model of the Milky Way from the STREAMFINDER Atlas of Stellar Streams Detected in Gaia DR3 R Ibata, K Malhan, W Tenachi, A Ardern-Arentsen, M Bellazzini, ... The Astrophysical Journal 967 (2), 89, 2024 | 35 | 2024 |
Typhon: a polar stream from the outer halo raining through the Solar neighborhood W Tenachi, PA Oria, R Ibata, B Famaey, Z Yuan, A Arentsen, N Martin, ... The Astrophysical Journal Letters 935 (2), L22, 2022 | 17 | 2022 |
Antaeus: A Retrograde Group of Tidal Debris in the Milky Way’s Disk Plane PA Oria, W Tenachi, R Ibata, B Famaey, Z Yuan, A Arentsen, N Martin, ... The Astrophysical Journal Letters 936 (1), L3, 2022 | 13 | 2022 |
Generalizing the SINDy approach with nested neural networks C Fiorini, C Flint, L Fostier, E Franck, R Hashemi, V Michel-Dansac, ... arXiv preprint arXiv:2404.15742, 2024 | 2 | 2024 |
Class Symbolic Regression: Gotta Fit’Em All W Tenachi, R Ibata, TL François, FI Diakogiannis The Astrophysical Journal Letters 969 (2), L26, 2024 | 1 | 2024 |
Physical Symbolic Optimization W Tenachi, R Ibata, FI Diakogiannis arXiv preprint arXiv:2312.03612, 2023 | 1 | 2023 |
Symbolic machine learning for physics and astrophysics W Tenachi Université de Strasbourg, 2024 | | 2024 |
Symbolic regression driven by dimensional analysis for the automated discovery of physical laws and constants of nature W Tenachi, R Ibata, FI Diakogiannis SF2A-2023: Proceedings of the Annual meeting of the French Society of …, 2023 | | 2023 |
An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates W Tenachi, R Ibata, FI Diakogiannis arXiv preprint arXiv:2305.16845, 2023 | | 2023 |