2 papers
stat.ML2020
Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case
Thibault Lesieur, Jérémie Messud, Issa Hammoud +3
To train a deep neural network to mimic the outcomes of processing sequences, a version of Conditional Generalized Adversarial Network (CGAN) can be used. It has been observed by o…
math.ST2019
Nonparametric adaptive inference of birth and death models in a large population limit
Alexandre Boumezoued, Marc Hoffmann, Paulien Jeunesse
Motivated by improving mortality tables from human demography databases, we investigate statistical inference of a stochastic age-evolving density of a population alimented by time…