4 papers
Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion
Jose Andres Millan-Romera, Samuel Cognolato, Holger Voos +2
Indoor 3D Scene Graphs (3DSGs) represent environments as multi-layer hierarchies that connect observed geometric primitives (e.g., planes) to higher-level metric-semantic concepts…
FLAGG: Flexible Autoregressive Graph Generation
Samuel Cognolato, Alessandro Sperduti, Luciano Serafini
The Deep Graph Generation's panorama spans two extremes: one-shot and sequential models. The former generates nodes and edges jointly, while the latter samples them autoregressivel…
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models
Samuel Cognolato, Alessandro Sperduti, Luciano Serafini
Graph generative models can be classified into two prominent families: one-shot models, which generate a graph in one go, and sequential models, which generate a graph by successiv…
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Samuel Cognolato, Alberto Testolin
Mathematical reasoning is one of the most impressive achievements of human intellect but remains a formidable challenge for artificial intelligence systems. In this work we explore…