6 citations · 17 across the 13 of their papers we have counts for
14 papers
Beyond Degree: Rooted Motif Signatures for Latent Position Identifiability in Graphon Models
Roland Boniface Sogan, Tabea Rebafka
Graphon estimation requires structural assumptions to address its intrinsic non-identifiability. A standard approach is degree-based identifiability, where the degree function is a…
A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
Roland B. Sogan, Tabea Rebafka, Fanny Villers
Estimating conditional independence graphs from high-dimensional Gaussian data is challenging because methods must detect relevant edges while rigorously controlling statistical er…
Low-Complexity and Consistent Graphon Estimation from Multiple Networks
Roland Boniface Sogan, Tabea Rebafka
Recovering the random graph model from an observed collection of networks is known to present significant challenges in the setting, where the networks do not share a common node s…
Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure
Valentin Kilian, Tabea Rebafka, Fanny Villers
For the problem of inferring a Gaussian graphical model (GGM), this work explores the application of a recent approach from the multiple testing literature for graph inference. The…
Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells
Arsen Sultanov, Jean-Claude Crivello, Tabea Rebafka +1
The discovery of new functional and stable materials is a big challenge due to its complexity. This work aims at the generation of new crystal structures with desired properties, s…
Model-based clustering of multiple networks with a hierarchical algorithm
Tabea Rebafka
The paper tackles the problem of clustering multiple networks, directed or not, that do not share the same set of vertices, into groups of networks with similar topology. A statist…