3 citations · 9 across the 19 of their papers we have counts for
8 papers · 1 filter
On Universality of Deep Equivariant Networks
Marco Pacini, Mircea Petrache, Bruno Lepri +2
Universality results for equivariant neural networks remain rare. Those that do exist typically hold only in restrictive settings: either they rely on regular or higher-order tenso…
TS-Mob: Social and Geographical-Aware Time Series Foundation-Model Framework for Human Mobility Prediction
Massimiliano Luca, Ciro Beneduce, Bruno Lepri
Short-term forecasting of aggregated human mobility flows supports urban planning, intelligent transportation systems, and emergency response, yet existing models often require sub…
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
Ciro Beneduce, Massimiliano Luca, Bruno Lepri
Diffusion-based text-to-image models are increasingly used for urban analysis and scenario generation, but their geographic knowledge and representational biases remain poorly unde…
pySpainMobility: Unlocking Spanish Open Mobility Data for Spatial Inequality Research
Ciro Beneduce, Tania Gullón Muñoz-Repiso, Bruno Lepri +1
Human mobility shapes access to resources, opportunities, and services, making movement data a powerful lens for studying spatial and social inequality. Yet despite the growing ava…
On Universality Classes of Equivariant Networks
Marco Pacini, Gabriele Santin, Bruno Lepri +1
Equivariant neural networks provide a principled framework for incorporating symmetry into learning architectures and have been extensively analyzed through the lens of their separ…
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
Massimiliano Luca, Ciro Beneduce, Bruno Lepri +1
With the wide and cross-domain adoption of Large Language Models, it becomes crucial to assess to which extent the statistical correlations in training data, which underlie their i…
Multimodal Large Language Models Predict Urban Safety Perception but Encode Non-Neutral Demographic Priors
Ciro Beneduce, Bruno Lepri, Massimiliano Luca
Understanding how people perceive urban environments is essential for inclusive planning, yet conventional surveys are costly and difficult to scale. We investigate whether Multimo…
Don't Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints
Nicolò Penzo, Marco Guerini, Bruno Lepri +2
Written Multi-Party Conversations (WMPCs) are widely studied across disciplines, with social media as a primary data source due to their accessibility. However, these datasets rais…