The shawdowed RTOS: A new method for efficient resources management in parallel hardware architectures. - Francois Caron; Laurent Capella (ESA, 2005)

Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures. - Francois Caron; Manuel Davy; Arnaud Doucet; Emmanuel Duflos; Philippe Vanheeghe (FUSION, 2006)

Least Committed basic belief density induced by a multivariate Gaussian pdf. - Francois Caron; Branko Ristic 001; Emmanuel Duflos; Philippe Vanheeghe (FUSION, 2006)

GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects. - Francois Caron; Emmanuel Duflos; Denis Pomorski; Philippe Vanheeghe (Inf. Fusion, 2006)

Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. - Francois Caron; Manuel Davy; Arnaud Doucet (UAI, 2007)

Locating sensor nodes on construction projects. - Francois Caron; Saiedeh Navabzadeh Razavi; Jongchul Song; Philippe Vanheeghe; Emmanuel Duflos; Carlos H. Caldas; Carl T. Haas (Auton. Robots, 2007)

Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning. - Francois Caron; Manuel Davy; Emmanuel Duflos; Philippe Vanheeghe (IEEE Trans. Signal Process., 2007)

Sparse Bayesian nonparametric regression. - Francois Caron; Arnaud Doucet (ICML, 2008)

Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications. - Francois Caron; Branko Ristic 001; Emmanuel Duflos; Philippe Vanheeghe (Int. J. Approx. Reason., 2008)

Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures. - Francois Caron; Manuel Davy; Arnaud Doucet; Emmanuel Duflos; Philippe Vanheeghe (IEEE Trans. Signal Process., 2008)

Bayesian Nonparametric Models on Decomposable Graphs. - Francois Caron; Arnaud Doucet (NIPS, 2009)

Comparison of implementations of Gaussian mixture PHD filters. - Michele Pace; Pierre Del Moral; Francois Caron (FUSION, 2010)

Particle Approximation of the Intensity Measures of a Spatial Branching Point Process Arising in Multitarget Tracking. - Francois Caron; Pierre Del Moral; Arnaud Doucet; Michele Pace (SIAM J. Control. Optim., 2011)

A Maximum Likelihood Approach to Video Error Correction Applied to H.264 Decoding. - Francois Caron; Stéphane Coulombe (NGMAST, 2012)

Bayesian nonparametric models for bipartite graphs. - Francois Caron (NIPS, 2012)

Bayesian nonparametric models for ranked data. - Francois Caron; Yee Whye Teh (NIPS, 2012)

Plackett-Luce regression: A new Bayesian model for polychotomous data. - Cédric Archambeau; Francois Caron (UAI, 2012)

Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data - Francois Caron; Yee Whye Teh; Thomas Brendan Murphy (CoRR, 2012)

On-line changepoint detection and parameter estimation with application to genomic data. - Francois Caron; Arnaud Doucet; Raphael Gottardo (Stat. Comput., 2012)

A maximum likelihood approach to correcting transmission errors for joint source-channel decoding of H.264 coded video. - Francois Caron; Stéphane Coulombe (ICIP, 2013)

Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms. - Adrien Todeschini; François Caron; Marie Chavent (NIPS, 2013)

Bayesian nonparametric models of sparse and exchangeable random graphs. - Francois Caron; Emily B. Fox (CoRR, 2014)

Fast HEVC Intra Mode Decision Based on Edge Detection and SATD Costs Classification. - Mohammadreza Jamali; Stéphane Coulombe; Francois Caron (DCC, 2015)

Video Error Correction Using Soft-Output and Hard-Output Maximum Likelihood Decoding Applied to an H.264 Baseline Profile. - François Caron; Stéphane Coulombe (IEEE Trans. Circuits Syst. Video Technol., 2015)

Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. - Jessica Sodjo; Audrey Giremus; François Caron; Jean-François Giovannelli; Nicolas Dobigeon (SSP, 2016)

Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities. - Adrien Todeschini; François Caron (CoRR, 2016)

Book Review: Nonlinear Time Series: Theory, methods, and applications with R examples, by Randal Douc, Eric Moulines, David S. Stoffer - CRC Press, Boca Raton, FL, 2014, xx + 531 pp, $99.95 (H), ISBN 978-1-4665-0225-3. - François Caron (Stat. Comput., 2016)

Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. - Andrei-Cristian Barbos; Francois Caron; Jean-François Giovannelli; Arnaud Doucet (NIPS, 2017)

Generalized Pólya Urn for Time-Varying Pitman-Yor Processes. - François Caron; Willie Neiswanger; Frank D. Wood; Arnaud Doucet; Manuel Davy (J. Mach. Learn. Res., 2017)

Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data. - Xenia Miscouridou; Francois Caron; Yee Whye Teh (NeurIPS, 2018)

A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. - Juho Lee 001; Lancelot F. James; Seungjin Choi; Francois Caron (AISTATS, 2019)

Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. - Fadhel Ayed; Juho Lee 001; Francois Caron (ICML, 2019)

A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images. - Jessica Sodjo; Audrey Giremus; Nicolas Dobigeon; François Caron (IEEE Access, 2019)

Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. - Fadhel Ayed; François Caron (CoRR, 2019)

A unified construction for series representations and finite approximations of completely random measures. - Juho Lee 001; Xenia Miscouridou; François Caron (CoRR, 2019)

Sparse Networks with Core-Periphery Structure. - Cian Naik; François Caron; Judith Rousseau (CoRR, 2019)

Non-exchangeable feature allocation models with sublinear growth of the feature sizes. - Giuseppe Di Benedetto; Francois Caron; Yee Whye Teh (AISTATS, 2020)

Nonnegative Bayesian nonparametric factor models with completely random measures. - Fadhel Ayed; François Caron (Stat. Comput., 2021)

Bayesian Nonparametrics for Sparse Dynamic Networks. - Cian Naik; François Caron; Judith Rousseau; Yee Whye Teh; Konstantina Palla (ECML/PKDD (5), 2022)

Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility. - Hoil Lee; Fadhel Ayed; Paul Jung; Juho Lee 001; Hongseok Yang; Francois Caron (J. Mach. Learn. Res., 2023)

Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. - Francois Caron; Fadhel Ayed; Paul Jung; Hoil Lee; Juho Lee 001; Hongseok Yang (Trans. Mach. Learn. Res., 2025)

FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference. - Stefano Cortinovis; François Caron (CoRR, 2025)

Anytime-valid, Bayes-assisted,Prediction-Powered Inference. - Valentin Kilian; Stefano Cortinovis; François Caron (CoRR, 2025)