2 papers
stat.ME2024
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…
physics.comp-ph2023
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…