| Data augmentation in high dimensional low sample size setting using a geometry-based variational autoencoder C Chadebec, E Thibeau-Sutre, N Burgos, S Allassonnière IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2879-2896, 2022 | 89 | 2022 |
| Pythae: Unifying Generative Autoencoders in Python--A Benchmarking Use Case C Chadebec, LJ Vincent, S Allassonnière Advances in Neural Information Processing Systems 35, 2022 | 38 | 2022 |
| Data Augmentation with Variational Autoencoders and Manifold Sampling C Chadebec, S Allassonnière Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021 | 32 | 2021 |
| A Geometric Perspective on Variational Autoencoders C Chadebec, S Allassonnière Advances in Neural Information Processing Systems 35, 2022 | 25 | 2022 |
| Geometry-aware hamiltonian variational auto-encoder C Chadebec, C Mantoux, S Allassonnière arXiv preprint arXiv:2010.11518, 2020 | 16 | 2020 |
| Flash diffusion: Accelerating any conditional diffusion model for few steps image generation C Chadebec, O Tasar, E Benaroche, B Aubin Proceedings of the AAAI Conference on Artificial Intelligence, 2025 | 5 | 2025 |
| Improving multimodal joint variational autoencoders through normalizing flows and correlation analysis A Senellart, C Chadebec, S Allassonnière arXiv preprint arXiv:2305.11832, 2023 | 4 | 2023 |
| An image feature mapping model for continuous longitudinal data completion and generation of synthetic patient trajectories C Chadebec, EMC Huijben, JPW Pluim, S Allassonnière, ... MICCAI Workshop on Deep Generative Models, 55-64, 2022 | 3 | 2022 |
| MultiVae: A Python library for Multimodal Generative Autoencoders A Senellart, C Chadebec, S Allassonnière | 1 | 2023 |
| Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data O Tasar, C Chadebec, B Aubin arXiv preprint arXiv:2412.11972, 2024 | | 2024 |
| Modeling the latent space of variational autoencoders C Chadebec Université Paris Cite, 2023 | | 2023 |
| Variational Inference for Longitudinal Data Using Normalizing Flows C Chadebec, S Allassonnière arXiv preprint arXiv:2303.14220, 2023 | | 2023 |
Stephanie AllassonniereUniversité Paris Citéایمیل تأیید شده در u-paris.fr