Programme
| Heures |
événement |
(+)
|
|
09:45 - 10:15
|
Accueil des participants - Café |
|
|
10:15 - 10:30
|
Discours de bienvenue (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
|
Déjeuner (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
|
Pause café |
|
|
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
|
Dîner de conférence, offert à tous les participants |
|
| Heures |
événement |
(+)
|
|
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
|
Pause café |
|
|
11:00 - 11:45
|
Nonlinear network-based quantitative trait prediction from omic data (Amphi D) - Mélina Gallopin |
|
|
11:45 - 13:30
|
Déjeuner (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 |
|
|
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