Florian Maire

According to our database, Florian Maire authored at least 11 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Improving multiple-try Metropolis with local balancing.

Philippe Gagnon, Florian Maire, Giacomo Zanella

J. Mach. Learn. Res., 2023

2022

Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling.

Florian Maire, Pierre Vandekerkhove

SIAM J. Math. Data Sci., December, 2022

2019

Informed sub-sampling MCMC: approximate Bayesian inference for large datasets.

Florian Maire, Nial Friel, Pierre Alquier

Stat. Comput., 2019

2018

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

2017

Efficient Bayesian inference for exponential random graph models by correcting the pseudo-posterior distribution.

Lampros Bouranis, Nial Friel, Florian Maire

Soc. Networks, 2017

Online EM for functional data.

Florian Maire, Eric Moulines, Sidonie Lefebvre

Comput. Stat. Data Anal., 2017

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

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

Planning & acting: Optimal Markov decision scheduling of aggregated data in WSNs by genetic algorithm.

Imane Horiya Brahmi, Florian Maire, Soufiene Djahel, John Murphy

Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

2012

Detecting Aircraft With a Low-Resolution Infrared Sensor.

Jérémie Jakubowicz, Sidonie Lefebvre, Florian Maire, Eric Moulines

IEEE Trans. Image Process., 2012

An online learning algorithm for mixture models of deformable templates.

Florian Maire, Sidonie Lefebvre, Randal Douc, Eric Moulines

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012