Thursday, March 26, 2020

Time Event  
09:45 - 10:15 Reception of the participants - Coffee  
10:15 - 10:30 Welcome address (Amphi D)  
10:30 - 11:15 Mixture models as a useful tool for identifying co-expressed genes from RNA-seq data (Amphi D) - Andrea Rau  
11:15 - 12:00 Models of segmentation mixtures (Amphi D) - Vincent Brault  
12:00 - 14:00 Lunch break (CROUS)  
14:00 - 14:45 Finite mixture models for deep learning (Amphi D) - Trung Tin Nguyen  
14:45 - 15:30 Recent advances on deep mixture models for the analysis of textual data (Amphi D) - Cinzia Viroli  
15:30 - 16:00 Coffee break  
16:00 - 16:45 Gaussian-based visualization of Gaussian and Non-Gaussian model-based clustering (Amphi D) - Christophe Biernacki  
16:45 - 17:30 Model based clustering through copulas : parsimonious model (Amphi D) - Dimitris Karlis  
19:00 - 22:00 Conference dinner, offered to all participants  

Friday, March 27, 2020

Time Event  
09:00 - 09:45 Semiparametric contamination model : the density and two samples testing (Amphi D) - Pierre Vandekerkhove  
09:45 - 10:30 Efficient semi-parametric estimation for multidimensional mixtures (Amphi D) - Élisabeth Gassiat  
10:30 - 11:00 Coffee break  
11:00 - 11:45 Nonlinear network-based quantitative trait prediction from omic data (Amphi D) - Mélina Gallopin  
11:45 - 13:30 Lunch break (CROUS)  
13:30 - 14:15 Mixture models and mixtures of regressions with nonparametric components (Amphi D) - Hajo Holzmann  
14:15 - 15:30 Adaptive nonparametric estimation of a component density in a two-class mixture model (Amphi D) - Van Hà Hoang