My research interests are:
graphons, graph limits, random graphs, probability theory,
statistical learning, online learning, optimization, distributed algorithms
Publications & Preprints
Julien Weibel. Ergodic theorem for branching Markov
chains indexed by trees with arbitrary shape, 2025, Journal of
Applied Probability (accepted, to appear).
[preprint version: arXiv,
hal]
Romain Abraham, Jean-François Delmas, Julien Weibel.
Probability-graphons: Limits of large dense weighted
graphs, 2025, Innovations in Graph Theory, vol. 2, pp. 25--117.
[journal version;
preprint version:
arXiv,
hal]
Julien Weibel. Graphons de probabilités,
limites de graphes pondérés aléatoires et
chaînes de Markov branchantes cachées, 2024, PhD
manuscript,
Université d'Orléans.
[PhD
manuscript,
or see on hal]
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.
Brief announcement: Randomized Consensus: Common Coins Are not the Holy Grail!,
2024, ACM Symposium on Principles of Distributed
Computing (PODC 2024).
[Brief announcement,
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]