An online learning algorithm for mixture models of deformable templates. - Florian Maire; Sidonie Lefebvre; Randal Douc; Eric Moulines (MLSP, 2012)

Detecting Aircraft With a Low-Resolution Infrared Sensor. - Jérémie Jakubowicz; Sidonie Lefebvre; Florian Maire; Eric Moulines (IEEE Trans. Image Process., 2012)

Planning & acting: Optimal Markov decision scheduling of aggregated data in WSNs by genetic algorithm. - Imane Horiya Brahmi; Florian Maire; Soufiene Djahel; John Murphy 001 (PIMRC, 2015)

On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective. - Randal Douc; Florian Maire; Jimmy Olsson (Stat. Comput., 2015)

Detecting Aircraft in Low-Resolution Multispectral Images: Specification of Relevant IR Wavelength Bands. - Florian Maire; Sidonie Lefebvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Online EM for functional data. - Florian Maire; Eric Moulines; Sidonie Lefebvre (Comput. Stat. Data Anal., 2017)

Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution. - Lampros Bouranis; Nial Friel; Florian Maire (Soc. Networks, 2017)

Model comparison for Gibbs random fields using noisy reversible jump Markov chain Monte Carlo. - Lampros Bouranis; Nial Friel; Florian Maire (Comput. Stat. Data Anal., 2018)

Informed sub-sampling MCMC: approximate Bayesian inference for large datasets. - Florian Maire; Nial Friel; Pierre Alquier (Stat. Comput., 2019)

Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling. - Florian Maire; Pierre Vandekerkhove (SIAM J. Math. Data Sci., 2022)

Improving multiple-try Metropolis with local balancing. - Philippe Gagnon; Florian Maire; Giacomo Zanella (J. Mach. Learn. Res., 2023)

Exponential Convergence of CAVI for Bayesian PCA. - Arghya Datta; Philippe Gagnon; Florian Maire (CoRR, 2025)