research
∙
06/29/2023
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation
Over recent years, denoising diffusion generative models have come to be...
share
research
∙
11/12/2022
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
Personal data collected at scale promises to improve decision-making and...
research
∙
10/03/2022
Agent swarms: cooperation and coordination under stringent communications constraint
Here we consider the communications tactics appropriate for a group of a...
research
∙
03/28/2022
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series
In this work, we introduce DAMNETS, a deep generative model for Markovia...
research
∙
04/02/2020
Motif-Based Spectral Clustering of Weighted Directed Networks
Clustering is an essential technique for network analysis, with applicat...
research
∙
12/19/2019
Adversarial Perturbations on the Perceptual Ball
We present a simple regularisation of Adversarial Perturbations based up...
research
∙
12/02/2019
Core-Periphery Structure in Directed Networks
While studies of meso-scale structures in networks often focus on commun...
research
∙
01/02/2019