NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. - Federico Siciliano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (IJCNN, 2022)

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. - Maria Sofia Bucarelli; Lucas Cassano; Federico Siciliano; Amin Mantrach; Fabrizio Silvestri (CVPR, 2023)

On Generalization Bounds for Projective Clustering. - Maria Sofia Bucarelli; Matilde Fjeldsø Larsen; Chris Schwiegelshohn; Mads Toftrup (NeurIPS, 2023)

Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels. - Farooq Ahmad Wani; Maria Sofia Bucarelli; Fabrizio Silvestri (CoRR, 2023)

False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture. - Tommaso Bragatto; Marco Antonio Bucarelli; Maria Sofia Bucarelli; Federico Carere; Alberto Geri; Marco Maccioni (Sensors, 2023)

Learning with Noisy Labels through Learnable Weighting and Centroid Similarity. - Farooq Ahmad Wani; Maria Sofia Bucarelli; Fabrizio Silvestri (IJCNN, 2024)

Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach. - Andrea Giuseppe Di Francesco; Francesco Caso; Maria Sofia Bucarelli; Fabrizio Silvestri (CoRR, 2024)

∇ τ: Gradient-based and Task-Agnostic machine Unlearning. - Daniel Trippa; Cesare Campagnano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

ATM: Improving Model Merging by Alternating Tuning and Merging. - Luca Zhou; Daniele Solombrino; Donato Crisostomi; Maria Sofia Bucarelli; Fabrizio Silvestri; Emanuele Rodolà (CoRR, 2024)

Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks. - Farooq Ahmad Wani; Maria Sofia Bucarelli; Andrea Giuseppe Di Francesco; Oleksandr Pryymak; Fabrizio Silvestri (CoRR, 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)

Task Singular Vectors: Reducing Task Interference in Model Merging. - Antonio Andrea Gargiulo; Donato Crisostomi; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Emanuele Rodolà (CVPR, 2025)

Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. - Lev Telyatnikov; Maria Sofia Bucarelli; Guillermo Bernárdez; Olga Zaghen; Simone Scardapane; Pietro Lio (Trans. Mach. Learn. Res., 2025)

The Majority Vote Paradigm Shift: When Popular Meets Optimal. - Antonio Purificato; Maria Sofia Bucarelli; Anil Kumar Nelakanti; Andrea Bacciu; Fabrizio Silvestri; Amin Mantrach (CoRR, 2025)

MASS: MoErging through Adaptive Subspace Selection. - Donato Crisostomi; Alessandro Zirilli; Antonio Andrea Gargiulo; Maria Sofia Bucarelli; Simone Scardapane; Fabrizio Silvestri; Iacopo Masi; Emanuele Rodolà (CoRR, 2025)

Early-Exit Graph Neural Networks. - Andrea Giuseppe Di Francesco; Maria Sofia Bucarelli; Franco Maria Nardini; Raffaele Perego 001; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2025)