Giuseppe Alessio D'Inverno

According to our database, Giuseppe Alessio D'Inverno authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection.

Gabriel Masella, Giuseppe Alessio D'Inverno, Max Goldsmith, Gianluigi Rozza

CoRR, May, 2026

Revisiting deep information propagation: Fractal frontier and finite-size effects.

Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy, Michael Unser, Gianluigi Rozza, Jonathan Dong

Neural Networks, 2026

Training dynamics of GANs through the lens of persistent homology.

Barbara Toniella Corradini, Ben Cullen, Caterina Gallegati, Sara Marziali, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli

Neurocomputing, 2026

Product of tensors and description of networks.

Luca Chiantini, Giuseppe Alessio D'Inverno, Sara Marziali

Adv. Appl. Math., 2026

2025

On Task Vectors and Gradients.

Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Fabrizio Silvestri, Emanuele Rodolà

CoRR, August, 2025

Hierarchical matrices for 3D Helmholtz problems in the multi-patch IgA-BEM setting.

L. Desiderio, Giuseppe Alessio D'Inverno, Maria Lucia Sampoli, Alessandra Sestini

Eng. Comput., June, 2025

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares.

Aurora Poggi, Giuseppe Alessio D'Inverno, Hjalmar Brismar, Ozan Öktem, Matthieu Barreau, Kateryna Morozovska

CoRR, May, 2025

Surrogate models for diffusion on graphs via sparse polynomials.

Giuseppe Alessio D'Inverno, Kylian Ajavon, Simone Brugiapaglia

CoRR, February, 2025

VC dimension of Graph Neural Networks with Pfaffian activation functions.

Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli

Neural Networks, 2025

Generalization limits of Graph Neural Networks in identity effects learning.

Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli

Neural Networks, 2025

Mesh-informed Reduced Order Models for aneurysm rupture risk prediction.

Giuseppe Alessio D'Inverno, Saeid Moradizadeh, Sajad Salavatidezfouli, Pasquale Claudio Africa, Gianluigi Rozza

J. Comput. Appl. Math., 2025

Comparison of Reservoir Computing topologies using the Recurrent Kernel approach.

Giuseppe Alessio D'Inverno, Jonathan Dong

Neurocomputing, 2025

2024

On the approximation capability of GNNs in node classification/regression tasks.

Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli

Soft Comput., July, 2024

Theoretical Properties of Graph Neural Networks.

Giuseppe Alessio D'Inverno

PhD thesis, 2024

A topological description of loss surfaces based on Betti Numbers.

Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri

Neural Networks, 2024

Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.

Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas

Neural Networks, 2024

Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow.

Anna Varbella, Damien Briens, Blazhe Gjorgiev, Giuseppe Alessio D'Inverno, Giovanni Sansavini

CoRR, 2024

Extension of Recurrent Kernels to different Reservoir Computing topologies.

Giuseppe Alessio D'Inverno, Jonathan Dong

CoRR, 2024

2021

A unifying point of view on expressive power of GNNs.

Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli

CoRR, 2021