François Caron
Orcid: 0000-0002-3952-224XAffiliations:
- University College Oxford, Department of Statistics
- INRIA Bordeaux - Sud-Ouest
- Lille University of Science and Technology, Laboratory of Automation, Computer Engineering, and Signal Processing (LAGIS)
According to our database1,
François Caron
authored at least 41 papers
between 2005 and 2023.
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Bibliography
2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning.
CoRR, 2023
2022
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility.
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
2021
Stat. Comput., 2021
2020
Non-exchangeable feature allocation models with sublinear growth of the feature sizes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A unified construction for series representations and finite approximations of completely random measures.
CoRR, 2019
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection.
CoRR, 2019
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images.
IEEE Access, 2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior.
Proceedings of the 36th International Conference on Machine Learning, 2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
J. Mach. Learn. Res., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
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.
Stat. Comput., 2016
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities.
CoRR, 2016
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
2015
Video Error Correction Using Soft-Output and Hard-Output Maximum Likelihood Decoding Applied to an H.264 Baseline Profile.
IEEE Trans. Circuits Syst. Video Technol., 2015
Proceedings of the 2015 Data Compression Conference, 2015
2014
2013
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
A maximum likelihood approach to correcting transmission errors for joint source-channel decoding of H.264 coded video.
Proceedings of the IEEE International Conference on Image Processing, 2013
2012
On-line changepoint detection and parameter estimation with application to genomic data.
Stat. Comput., 2012
Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data
CoRR, 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Sixth International Conference on Next Generation Mobile Applications, 2012
2011
Particle Approximation of the Intensity Measures of a Spatial Branching Point Process Arising in Multitarget Tracking.
SIAM J. Control. Optim., 2011
2010
Proceedings of the 13th Conference on Information Fusion, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
IEEE Trans. Signal Process., 2008
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications.
Int. J. Approx. Reason., 2008
2007
Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning.
IEEE Trans. Signal Process., 2007
Proceedings of the UAI 2007, 2007
2006
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects.
Inf. Fusion, 2006
Proceedings of the 9th International Conference on Information Fusion, 2006
Proceedings of the 9th International Conference on Information Fusion, 2006
2005
The shawdowed RTOS: A new method for efficient resources management in parallel hardware architectures.
Proceedings of The 2005 International Conference on Embedded Systems and Applications, 2005