Agathe Senellart
I am currently a PhD student under the supervision of Stéphanie Allassonnière in the HeKA team located at PariSanté Campus. I work on Variational Autoencoders based methods with applications to medical imaging. During my PhD, I have worked on Multimodal VAEs methods, which led me to develop the python library MultiVae. More recently I have been working on Unsupervised Anomaly Detection methods in brain images, in collaboration with the Aramis team at the Paris Brain Institute.
news
| Mar 20, 2026 | Our work Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection was accepted for an oral presentation at ISBI 2026 in London ! |
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| Mar 15, 2026 | We will be at OHBM-2026 🧠 in Bordeaux to present our work on latent maximum a posteriori optimisation for anomaly detection ! |
| Mar 11, 2026 | We presented a poster at IABM 2026 in Lyon! |
| Feb 15, 2026 | I was attending the workshop AI across Scales at the Newton Institute in Cambridge and presented a poster about our work on unsupervised anomaly detection. |
| Nov 13, 2025 | Our paper “Bridging the inference gap in Multimodal Variational Autoencoders” was accepted for publication in JDSSV ! |
| Jun 05, 2025 | Our paper “MultiVae: A Python package for Multimodal Variational Autoencoders on Partial Datasets.” was accepted for publication in JOSS ! The library is available here |
| Jun 01, 2025 | I will be presenting my work on Multimodal VAEs at the JDS-2025 in Marseille ! |