2 papers
cs.LG2026
Network Learning with Semi-relaxed Gromov-Wasserstein
Charles Dufour, Ulysse Naepels, Leonardo V. Santoro
Estimating the generative mechanism of large-scale networks is a fundamental challenge in statistical machine learning. It requires the identification of the latent connectivity st…
stat.ME2026
Inference for Functional Data under Markov Constraints
Ulysse Naepels, Victor M. Panaretos
Smoothness has long been the dominant form of parsimony in functional data analysis, to the point of occasionally being conflated with the very notion of functional data. However,…