These seminars, organized by ENSAI’s statistics department, enable guest researchers to present their work. They are open to the public, subject to registration.
2026
February 6, 2026:”Inference after human genetic clustering” by Javier González-Delgado (CREST-ENSAI)
February 20, 2026:”Transfer Learning Beyond Classical Notions of Distance” by Samory Kpotufe (Columbia University)
March 27, 2026:”Leveraging Citizen Science and Machine Learning for Plant Identification: Challenges from Pl@ntNet” by Joseph Salmon (INRIA)
April 30, 2026, 2:00 PM – 3:00 PM:”Projection-based Riemannian Federated Learning with Partial Participation” by Thibault Pautrel (L2S)
May 5, 2026: 5 mai : Annika Tilander, Louis Ohl, Bertil Wegmann (Linköping University)
May 22, 2026:Olga Klopp (more information to come)
June 12, 2026:Paul Doukhan (more information to come)
2025
Septembre 26, 2025: “Score-based generative models and applications in (Bavesian) statistics” by Gabriel Victorino Cardoso (Mines Paris)
October 10, 2025, 11-12 am : “Some results on the bias of self-normalized importance sampling” by Pierre Jacob (ESSEC)
October 17, 2025 11:00-12 am : “One model, many methods: the NIMBLE platform for hierarchical statistical modelling” by Perry de Valpine (Berkeley University)
2024
September 20, 2024, 11-12 a.m.: “Ranking the rows of a Permuted Isotonic Matrix in Noise” by Emmanuel Pilliat (ENSAI)
October 1 and 2, 2024, 10-12 a.m.: “Introduction to point processes” by Frédéric Lavancier (ENSAI)
October 4, 2024, 11-12am : “Quantum workers in Bernoulli factories” by Rémi Bardenet (CNRS)
October 18, 2024 10:40-12 a.m. : “Construction of attractive coupling of determinantal processes using non-symmetrical kernels” by Arnaud Poinas (Université de Poitiers)