| GAN-based data augmentation for transcriptomics: survey and comparative assessment A Lacan, M Sebag, B Hanczar Bioinformatics 39 (Supplement_1), i111-i120, 2023 | 13 | 2023 |
| Deep transfer learning for blended source identification in galaxy survey data S Farrens, A Lacan, A Guinot, AZ Vitorelli Astronomy & Astrophysics 657, A98, 2022 | 10 | 2022 |
| Frugal Generative Modeling for Tabular Data A Lacan, B Hanczar, M Sebag Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| In Silico Generation of Gene Expression profiles using Diffusion Models A Lacan, R Andre, M Sebag, B Hanczar bioRxiv, 2024.04. 10.588825, 2024 | | 2024 |
| ML-CI: Machine Learning Confidence Intervals for Covid-19 forecasts A Lacan, I Guyon BayLearn-Machine Learning Symposium 2021, 2021 | | 2021 |
