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We are excited to share that our paper, Active Continual Learning with Metaplastic Binary Bayesian Neural Networks , has been accepted as a poster at ICML 2026 in Seoul, South Korea!
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Variational methods are often introduced through information theory: learning means finding an approximate distribution that remains close to a target Bayesian posterior. This has a geometrical interpretation. The mathematical object being optimized is not a point in a Euclidean parameter space, it's a probability distribution living on a curved statistical manifold.
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This portrait celebrates Lara Couronné, a brilliant scientist whose journey blends determination, passion, and creativity. Filmed as part of her daily life in research, this video offers a glimpse into who she is, both in and beyond the lab.
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I’m super happy to announce that Djohan Bonnet, Damien Querlioz and I, as well as co-authors recently published a paper about Bayesian continual learning & forgetting in Neural Networks in Nature Communications! It’s been a long journey to get this paper published and we are very proud of our research.
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Itinérances is a portrait of my journey as a Ph.D. student, at the crossroads of scientific research, personal passion, and intellectual curiosity. This short film explores my daily life in the lab, the motivations that drive my work, and the ideas that shape my approach to science.