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Maria Sofia Bucarelli
Maria Sofia Bucarelli
Verified email at uniroma1.it
Title
Cited by
Cited by
Year
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
L Telyatnikov, MS Bucarelli, G Bernardez, O Zaghen, S Scardapane, P Lio
arXiv preprint arXiv:2310.07684, 2023
172023
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
MS Bucarelli, L Cassano, F Siciliano, A Mantrach, F Silvestri
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
132023
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
F Siciliano, MS Bucarelli, G Tolomei, F Silvestri
2022 International Joint Conference on Neural Networks (IJCNN), 01-17, 2022
102022
False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture
T Bragatto, MA Bucarelli, MS Bucarelli, F Carere, A Geri, M Maccioni
Sensors 23 (5), 2557, 2023
92023
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
AG Di Francesco, F Caso, MS Bucarelli, F Silvestri
arXiv preprint arXiv:2402.14802, 2024
52024
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
FA Wani, MS Bucarelli, F Silvestri
2024 International Joint Conference on Neural Networks (IJCNN), 1-9, 2024
4*2024
∇ τ: Gradient-based and Task-Agnostic machine Unlearning
D Trippa, C Campagnano, MS Bucarelli, G Tolomei, F Silvestri
CoRR, 2024
22024
On Generalization Bounds for Projective Clustering
MS Bucarelli, F Larsen, Matilde, C Schwiegelshohn, Toftrup, Bech, Mads
Advances in Neural Information Processing Systems 36 (NeurIPS 2023) 36 …, 2023
22023
Task Singular Vectors: Reducing Task Interference in Model Merging
AA Gargiulo, D Crisostomi, MS Bucarelli, S Scardapane, F Silvestri, ...
arXiv preprint arXiv:2412.00081, 2024
12024
ATM: Improving Model Merging by Alternating Tuning and Merging
L Zhou, D Solombrino, D Crisostomi, MS Bucarelli, F Silvestri, E Rodolą
arXiv preprint arXiv:2411.03055, 2024
12024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
G Bernįrdez, L Telyatnikov, M Montagna, F Baccini, M Papillon, ...
arXiv preprint arXiv:2409.05211, 2024
12024
A topological description of loss surfaces based on Betti Numbers
MS Bucarelli, GA D’Inverno, M Bianchini, F Scarselli, F Silvestri
Neural Networks, 106465, 2024
12024
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks
FA Wani, MS Bucarelli, AG Di Francesco, O Pryymak, F Silvestri
arXiv preprint arXiv:2412.08419, 2024
2024
Improving reliability in deep learning: exploring generalization bounds, noisy label handling, and loss surface characterization
MS Bucarelli
Universitą degli Studi di Roma" La Sapienza", 2024
2024
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