Giuseppe Alessio D'Inverno

22 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training dynamics of GANs through the lens of persistent homology.
Neurocomputing
Barbara Toniella Corradini, Ben Cullen, Caterina Gallegati, Sara Marziali, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2025 J jnl
Comparison of Reservoir Computing topologies using the Recurrent Kernel approach.
Neurocomputing
Giuseppe Alessio D'Inverno, Jonathan Dong
2025 J jnl
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares.
CoRR
Aurora Poggi, Giuseppe Alessio D'Inverno, Hjalmar Brismar, Ozan Öktem, Matthieu Barreau, Kateryna Morozovska
2025 J jnl
Generalization limits of Graph Neural Networks in identity effects learning.
Neural Networks
Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli
2025 J jnl
Hierarchical matrices for 3D Helmholtz problems in the multi-patch IgA-BEM setting.
Eng. Comput.
L. Desiderio, Giuseppe Alessio D'Inverno, Maria Lucia Sampoli, Alessandra Sestini
2025 J jnl
Mesh-informed Reduced Order Models for aneurysm rupture risk prediction.
J. Comput. Appl. Math.
Giuseppe Alessio D'Inverno, Saeid Moradizadeh, Sajad Salavatidezfouli, Pasquale Claudio Africa, Gianluigi Rozza
2025 J jnl
On Task Vectors and Gradients.
CoRR
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Fabrizio Silvestri, Emanuele Rodolà
2025 J jnl
Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects.
CoRR
Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy, Michael Unser, Gianluigi Rozza, Jonathan Dong
2025 J jnl
Surrogate models for diffusion on graphs via sparse polynomials.
CoRR
Giuseppe Alessio D'Inverno, Kylian Ajavon, Simone Brugiapaglia
2025 J jnl
VC dimension of Graph Neural Networks with Pfaffian activation functions.
Neural Networks
Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2024 J jnl
A topological description of loss surfaces based on Betti Numbers.
CoRR
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
2024 J jnl
A topological description of loss surfaces based on Betti Numbers.
Neural Networks
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri
2024 J jnl
Extension of Recurrent Kernels to different Reservoir Computing topologies.
CoRR
Giuseppe Alessio D'Inverno, Jonathan Dong
2024 J jnl
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction.
CoRR
Giuseppe Alessio D'Inverno, Saeid Moradizadeh, Sajad Salavatidezfouli, Pasquale Claudio Africa, Gianluigi Rozza
2024 J jnl
On the approximation capability of GNNs in node classification/regression tasks.
Soft Comput.
Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli
2024 J jnl
Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow.
CoRR
Anna Varbella, Damien Briens, Blazhe Gjorgiev, Giuseppe Alessio D'Inverno, Giovanni Sansavini
2024 — —
Theoretical Properties of Graph Neural Networks.
Giuseppe Alessio D'Inverno
2024 J jnl
VC dimension of Graph Neural Networks with Pfaffian activation functions.
CoRR
Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli
2024 J jnl
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs.
Neural Networks
Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas
2023 J jnl
Generalization Limits of Graph Neural Networks in Identity Effects Learning.
CoRR
Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli
2022 J jnl
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs.
CoRR
Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas
2021 J jnl
A unifying point of view on expressive power of GNNs.
CoRR
Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli