3 papers
stat.ME2026
Independent Component Discovery in Temporal Count Data
Alexandre Chaussard, Anna Bonnet, Sylvain Le Corff
Advances in data collection are producing growing volumes of temporal count observations, making adapted modeling increasingly necessary. In this work, we introduce a generative fr…
stat.AP2025
TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
Alexandre Chaussard, Anna Bonnet, Sylvain Le Corff +1
The gut microbiome plays a crucial role in human health, making it a corner stone of modern biomedical research. To study its structure and dynamics, machine learning models are in…
stat.ME2025
Tree-based variational inference for Poisson log-normal models
Alexandre Chaussard, Anna Bonnet, Elisabeth Gassiat +1
When studying ecosystems, hierarchical trees are often used to organize entities based on proximity criteria, such as the taxonomy in microbiology, social classes in geography, or…