Maria Sofia Bucarelli

According to our database, Maria Sofia Bucarelli authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

∇ τ: Gradient-based and Task-Agnostic machine Unlearning.

Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri

CoRR, 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

A topological description of loss surfaces based on Betti Numbers.

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

CoRR, 2024

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, March, 2023

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

CoRR, 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

On Generalization Bounds for Projective Clustering.

Maria Sofia Bucarelli, Matilde Fjeldsø Larsen, Chris Schwiegelshohn, Mads Toftrup

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels.

Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.

Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2022