7 citations · 19 across the 21 of their papers we have counts for
5 papers · 1 filter
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…
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…
Variational excess risk bound for general state space models
Élisabeth Gassiat, Sylvain Le Corff
In this paper, we consider variational autoencoders (VAE) for general state space models. We consider a backward factorization of the variational distributions to analyze the exces…
Amortized backward variational inference in nonlinear state-space models
Mathis Chagneux, Élisabeth Gassiat, Pierre Gloaguen +1
We consider the problem of state estimation in general state-space models using variational inference. For a generic variational family defined using the same backward decompositio…
Online Sequential Monte Carlo smoother for partially observed stochastic differential equations
Pierre Gloaguen, Marie-Pierre Etienne, Sylvain Le Corff
This paper introduces a new algorithm to approximate smoothed additive functionals for partially observed stochastic differential equations. This method relies on a recent procedur…