320 citations · 906 across the 68 of their papers we have counts for
84 papers
Oscillatory Neural Dynamics over Sheaves
Jan-Willem Van Looy, Alessandro Trenta, Alessio Gravina +5
Effective long-range propagation remains a central challenge in graph neural networks, as increasing a model's propagation depth does not guarantee that distant nodes effectively i…
Let the Heads Talk: Beyond Diagonal Graph Attention
Riccardo Ali, Alessio Borgi, Mario Severino +4
Sheaf Neural Networks generalize scalar-weighted message passing by replacing scalar edge weights with linear transport maps between local feature spaces. Yet the role of this matr…
Stable Transformers for Graph Generation
Luca Miglior, Alessio Gravina, Davide Bacciu
Graph generative models increasingly rely on Graph Transformers (GT) to capture complex dependencies among nodes and edges. While deeper architectures should provide greater expres…
Identifying ODEs from Unstructured Data with Causal Representation Learning
Alessandro Trenta, Riccardo Massidda, Davide Bacciu +1
We study the problem of recovering the governing ODE of a dynamical system from unstructured, high-dimensional observations such as images. Existing methods for ODE discovery typic…
Likelihood Ranking doesn't Scale Like Prompting in LLMs
Alessandro Bondielli, Lucia Passaro, Davide Bacciu +1
LLM evaluation is commonly performed either by prompting models to produce answers or by scoring candidate outputs with likelihood-based metrics. In multiple-choice QA, however, st…
Convergent transcriptomic and neuroimaging signature of Autism Spectrum Disorder
Elisa Ferrari, Alessandra Retico, Alessandro Cellerino +1
Autism Spectrum Disorder (ASD) is a multi-factorial neurodevelopmental disorder, whose causes are still poorly understood. Effective therapies to reduce all the heterogeneous sympt…