Author

Marco Lippi

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Preprint Oct 2026

Can We Use Saliency Maps for the Evaluation of Generative Image Models?

Evaluating generative image models remains challenging, as commonly used metrics depend on fixed pretrained feature extractors optimized for different tasks that do not always align with human realism perception across datasets and model families. To address this limitation, we investigate a human-inspired evaluation f...

E. Ristori, L. Bindini, Marco Lippi et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty

Bayesian Networks (BNs) are established tools for letting agents reason under uncertainty in sequential decision-making. They split a joint distribution into local conditional mechanisms arranged on a directed acyclic graph, which makes them modular, interpretable, and ready to perform probabilistic inference. Their cl...

Giovanni Briglia, Marco Lippi, Stefano Mariani et al. · 0 citations