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Holistic framework for AI in critical network infrastructures
This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operators t

Decentralized-gnn
A package for implementing and simulating decentralized Graph Neural Network algorithms for classification of peer-to-peer nodes.
Developed code supports the publication p2pGNN: A Decentralized Graph Neural Network for Node Classification i

PandA: Unsupervised learning of parts and appearances in the feature maps of GANs
We propose an architecture-agnostic approach that jointly discovers factors representing spatial parts and their appearances in an entirely unsupervised fashion.

Ensuring the Safety of Artificial Intelligence
The essays are some of our first steps towards an understanding of how to make today’s choices in ways that take the people of tomorrow seriously. This is not an easy undertaking.