My research interests are:
graphons, graph limits, random graphs, probability theory,
statistical learning, online learning, optimization, distributed algorithms
Publications & Preprints
Julien Weibel. Asymptotic properties of the maximum likelihood estimator for Hidden Markov Models indexed by binary trees, 2024, preprint.
[arXiv,
hal]
Achour Mostéfaoui, Matthieu Perrin, Julien Weibel.
Randomized Consensus: Common Coins Are not the Holy Grail!,
2024, ACM Symposium on Principles of Distributed
Computing (PODC 2024).
[Brief annoucement,
hal]
Julien Weibel. Ergodic theorem for branching Markov chains indexed by trees with arbitrary shape, 2024, preprint.
[arXiv,
hal]
Romain Abraham, Jean-François Delmas, Julien Weibel. Probability-graphons: Limits of large dense weighted graphs, 2023, preprint.
[arXiv,
hal]
Fatima-Ezzahra El Orche, Marcel Hollenstein, Sarah Houdaigoui, David Naccache, Daria Pchelina, Peter B Rønne, Peter y A Ryan, Julien Weibel, Robert Weil.
Taphonomical Security: (DNA) Information with a Foreseeable Lifespan, 2023, Future of Information and Communication Conference (FICC).
[hal]