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ORCIDFrançois Caron
Person information
- affiliation: University College Oxford, Department of Statistics
- affiliation: INRIA Bordeaux - Sud-Ouest
- affiliation: Lille University of Science and Technology, Laboratory of Automation, Computer Engineering, and Signal Processing (LAGIS)
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Journal Articles
- 2021
[j12]Fadhel Ayed, François Caron:
Nonnegative Bayesian nonparametric factor models with completely random measures. Stat. Comput. 31(5): 63 (2021)- 2019
- [j11]Jessica Sodjo
, Audrey Giremus, Nicolas Dobigeon, François Caron:
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images. IEEE Access 7: 120176-120188 (2019) - 2017
- [j10]François Caron, Willie Neiswanger, Frank D. Wood, Arnaud Doucet, Manuel Davy:
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes. J. Mach. Learn. Res. 18: 27:1-27:32 (2017) - 2016
- [j9]François Caron:
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. 26(1-2): 571-572 (2016) - 2015
- [j8]François Caron, Stéphane Coulombe:
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. 25(7): 1161-1174 (2015) - 2012
- [j7]Francois Caron, Arnaud Doucet, Raphael Gottardo:
On-line changepoint detection and parameter estimation with application to genomic data. Stat. Comput. 22(2): 579-595 (2012) - 2011
- [j6]Francois Caron, Pierre Del Moral, Arnaud Doucet, Michele Pace:
Particle Approximation of the Intensity Measures of a Spatial Branching Point Process Arising in Multitarget Tracking. SIAM J. Control. Optim. 49(4): 1766-1792 (2011) - 2008
- [j5]Francois Caron, Branko Ristic, Emmanuel Duflos, Philippe Vanheeghe:
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications. Int. J. Approx. Reason. 48(2): 419-436 (2008) - [j4]Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe:
Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 56(1): 71-84 (2008) - 2007
- [j3]Francois Caron, Saiedeh Navabzadeh Razavi, Jongchul Song, Philippe Vanheeghe, Emmanuel Duflos, Carlos H. Caldas, Carl T. Haas:
Locating sensor nodes on construction projects. Auton. Robots 22(3): 255-263 (2007) - [j2]Francois Caron, Manuel Davy, Emmanuel Duflos, Philippe Vanheeghe:
Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning. IEEE Trans. Signal Process. 55(6-1): 2703-2719 (2007) - 2006
- [j1]Francois Caron, Emmanuel Duflos, Denis Pomorski, Philippe Vanheeghe:
GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects. Inf. Fusion 7(2): 221-230 (2006)
Conference and Workshop Papers
- 2022
- [c21]Cian Naik, François Caron, Judith Rousseau, Yee Whye Teh, Konstantina Palla:
Bayesian Nonparametrics for Sparse Dynamic Networks. ECML/PKDD (5) 2022: 191-206 - 2020
- [c20]Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh:
Non-exchangeable feature allocation models with sublinear growth of the feature sizes. AISTATS 2020: 3208-3218 - 2019
- [c19]Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. AISTATS 2019: 758-767 - [c18]Fadhel Ayed, Juho Lee, Francois Caron:
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. ICML 2019: 395-404 - 2018
- [c17]Xenia Miscouridou, Francois Caron, Yee Whye Teh:
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data. NeurIPS 2018: 2349-2358 - 2017
- [c16]Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli, Arnaud Doucet:
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. NIPS 2017: 5020-5028 - 2016
- [c15]Jessica Sodjo, Audrey Giremus, François Caron, Jean-François Giovannelli, Nicolas Dobigeon:
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. SSP 2016: 1-5 - 2015
- [c14]Mohammadreza Jamali, Stéphane Coulombe, Francois Caron:
Fast HEVC Intra Mode Decision Based on Edge Detection and SATD Costs Classification. DCC 2015: 43-52 - 2013
- [c13]Francois Caron, Stéphane Coulombe:
A maximum likelihood approach to correcting transmission errors for joint source-channel decoding of H.264 coded video. ICIP 2013: 1870-1874 - [c12]Adrien Todeschini, François Caron, Marie Chavent:
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms. NIPS 2013: 845-853 - 2012
- [c11]Francois Caron, Stéphane Coulombe:
A Maximum Likelihood Approach to Video Error Correction Applied to H.264 Decoding. NGMAST 2012: 1-6 - [c10]Francois Caron, Yee Whye Teh:
Bayesian nonparametric models for ranked data. NIPS 2012: 1529-1537 - [c9]Francois Caron:
Bayesian nonparametric models for bipartite graphs. NIPS 2012: 2060-2068 - [c8]Cédric Archambeau, Francois Caron:
Plackett-Luce regression: A new Bayesian model for polychotomous data. UAI 2012: 84-92 - 2010
- [c7]Michele Pace, Pierre Del Moral, Francois Caron:
Comparison of implementations of Gaussian mixture PHD filters. FUSION 2010: 1-8 - 2009
- [c6]Francois Caron, Arnaud Doucet:
Bayesian Nonparametric Models on Decomposable Graphs. NIPS 2009: 225-233 - 2008
- [c5]Francois Caron, Arnaud Doucet:
Sparse Bayesian nonparametric regression. ICML 2008: 88-95 - 2007
- [c4]Francois Caron, Manuel Davy, Arnaud Doucet:
Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. UAI 2007: 33-40 - 2006
- [c3]Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe:
Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures. FUSION 2006: 1-8 - [c2]Francois Caron, Branko Ristic, Emmanuel Duflos, Philippe Vanheeghe:
Least Committed basic belief density induced by a multivariate Gaussian pdf. FUSION 2006: 1-8 - 2005
- [c1]Francois Caron, Laurent Capella:
The shawdowed RTOS: A new method for efficient resources management in parallel hardware architectures. ESA 2005: 17-23
Informal and Other Publications
- 2023
- [i12]Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang:
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. CoRR abs/2302.01002 (2023) - 2022
- [i11]Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, François Caron:
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility. CoRR abs/2205.08187 (2022) - 2020
- [i10]Giuseppe Di Benedetto, François Caron, Yee Whye Teh:
Non-exchangeable feature allocation models with sublinear growth of the feature sizes. CoRR abs/2003.13491 (2020) - 2019
- [i9]Fadhel Ayed, Juho Lee, François Caron:
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior. CoRR abs/1902.04714 (2019) - [i8]Fadhel Ayed, François Caron:
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. CoRR abs/1902.10693 (2019) - [i7]Juho Lee, Xenia Miscouridou, François Caron:
A unified construction for series representations and finite approximations of completely random measures. CoRR abs/1905.10733 (2019) - [i6]Cian Naik, François Caron, Judith Rousseau:
Sparse Networks with Core-Periphery Structure. CoRR abs/1910.09679 (2019) - 2018
- [i5]Juho Lee, Lancelot F. James, Seungjin Choi, François Caron:
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. CoRR abs/1810.01778 (2018) - 2016
- [i4]Adrien Todeschini, François Caron:
Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities. CoRR abs/1602.02114 (2016) - 2014
- [i3]Francois Caron, Emily B. Fox:
Bayesian nonparametric models of sparse and exchangeable random graphs. CoRR abs/1401.1137 (2014) - 2012
- [i2]Francois Caron, Yee Whye Teh:
Bayesian nonparametric models for ranked data. CoRR abs/1211.4321 (2012) - [i1]Francois Caron, Yee Whye Teh, Thomas Brendan Murphy:
Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data. CoRR abs/1211.5037 (2012)
Coauthor Index
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