Thèse Cifre opportunity around Constrained machine learning using deep neural networks for embedded systems. Contact me if interested.
April 4-5, 2019: organising a two-day workshop in Grenoble, StatLearn 2019. Call for posters opens early January 2019.
September 6-7: organised a two-day workshop in Grenoble on Bayesian learning theory for complex data modelling.
June: organised a session at ISBA 2018 Edinburgh with Richard Nickl on Bayesian nonparametrics for stochastic processes.
April 26-27: co-organised a workshop on random graphs in Grenoble. Alisa Kirichenko's talk on Function estimation on large graphs part of Bayes in Grenoble.
October 9-13, 2017: co-organised the School of Statistics for Astrophysics: Bayesian methodology, Autrans, France.
Bayes in Grenoble
R in Grenoble
LJK Statistics Seminar
Inria deep learning reading group