When Bayesian neural networks remember too much
Two Bayesian continual-learning rules that differ by a single term, and what that term does to a posterior on a stream that will not sit still.
Notes on Bayesian learning, continual learning and the hardware it has to run on, plus the occasional portrait film.
Two Bayesian continual-learning rules that differ by a single term, and what that term does to a posterior on a stream that will not sit still.
29 May Note
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!
4 May Essay
Variational methods are often introduced through information theory: learning means finding an approximate distribution that remains close to a target Bayesian posterior.
18 Dec Portrait
This portrait celebrates Lara Couronné, a brilliant scientist whose journey blends determination, passion, and creativity.
30 Oct Note
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 and forgetting in neural networks in Nature Communications.
14 Nov Portrait
Itinérances is a portrait of my journey as a Ph.D.
6 posts since 2024. New ones arrive in the RSS feed.