Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data
 Hejblum, B Alkhassim, C Gottardo, R Caron, F Thiébaut, R (14 Feb 2017) doi:10.48550/arxiv.1702.04407
A unified construction for series representations and finite approximations of completely random measures
 Lee, J Miscouridou, X Caron, F (26 May 2019) doi:10.48550/arxiv.1905.10733
Non-exchangeable feature allocation models with sublinear growth of the feature sizes
 Di Benedetto, G Caron, F Teh, Y (30 Mar 2020) doi:10.48550/arxiv.2003.13491
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior
 Ayed, F Lee, J Caron, F (12 Feb 2019) doi:10.48550/arxiv.1902.04714
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection
 Ayed, F Caron, F (27 Feb 2019) doi:10.48550/arxiv.1902.10693
The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties
 Ayed, F Lee, J Caron, F (19 Jun 2020) doi:10.48550/arxiv.2006.10968
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
 Lee, H Ayed, F Jung, P Lee, J Yang, H Caron, F (17 May 2022) doi:10.48550/arxiv.2205.08187
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
 Caron, F Ayed, F Jung, P Lee, H Lee, J Yang, H (02 Feb 2023) doi:10.48550/arxiv.2302.01002
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