Maria Sofia Bucarelli

32 papers A* 3B 4Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Same Answer, Different Representations: Hidden instability in VLMs.
CoRR
Farooq Ahmad Wani, Alessandro Suglia, Rohit Saxena, Aryo Pradipta Gema, Wai-Chung Kwan, Fazl Barez, Maria Sofia Bucarelli, Fabrizio Silvestri, Pasquale Minervini
2026 J jnl
Select, Label, Evaluate: Active Testing in NLP.
CoRR
Antonio Purificato, Maria Sofia Bucarelli, Andrea Bacciu, Amin Mantrach, Fabrizio Silvestri
2025 — conf
ATM: Improving Model Merging by Alternating Tuning and Merging.
ICIAP (Workshops 2)
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà
2025 J jnl
Early-Exit Graph Neural Networks.
CoRR
Andrea Giuseppe Di Francesco, Maria Sofia Bucarelli, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Fabrizio Silvestri
2025 J jnl
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design.
Trans. Mach. Learn. Res.
Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio
2025 B conf
IJCNN 2025 Competition: Learning with Noisy Graph Labels.
IJCNN
Farooq Ahmad Wani, Maria Sofia Bucarelli, Giulia Di Teodoro, Andrea Giuseppe Di Francesco
2025 B conf
Link Prediction with Physics-Inspired Graph Neural Networks.
IJCNN
Andrea Giuseppe Di Francesco, Francesco Caso, Maria Sofia Bucarelli, Fabrizio Silvestri
2025 J jnl
MASS: MoErging through Adaptive Subspace Selection.
CoRR
Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà
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
PISA: Prioritized Invariant Subgraph Aggregation.
CoRR
Ali Ghasemi, Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri
2025 J jnl
Report on the 2nd Search Futures Workshop at ECIR 2025.
SIGIR Forum
Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Johanne R. Trippas, Zhaochun Ren, Maria Sofia Bucarelli, Xiao Fu, Yixing Fan, Michael Granitzer, David Graus, Maria Heuss, Jaap Kamps, Yibin Lei, Andrew Parry, Damiaan Reijnaers, Maarten de Rijke, Siddharth A. K. Singh, Yubao Tang, Suzan Verberne, Jonas Wallat, Yumeng Wang, Chen Xu, Andrew Yates, Saber Zerhoudi, Jujia Zhao
2025 J jnl
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic.
CoRR
Mostafa Mozafari, Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri
2025 A* conf
Task Singular Vectors: Reducing Task Interference in Model Merging.
CVPR
Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà
2025 J jnl
The Majority Vote Paradigm Shift: When Popular Meets Optimal.
CoRR
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach
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
ATM: Improving Model Merging by Alternating Tuning and Merging.
CoRR
Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024 B conf
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity.
IJCNN
Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri
2024 J jnl
Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach.
CoRR
Andrea Giuseppe Di Francesco, Francesco Caso, Maria Sofia Bucarelli, Fabrizio Silvestri
2024 J jnl
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks.
CoRR
Farooq Ahmad Wani, Maria Sofia Bucarelli, Andrea Giuseppe Di Francesco, Oleksandr Pryymak, Fabrizio Silvestri
2024 J jnl
Task Singular Vectors: Reducing Task Interference in Model Merging.
CoRR
Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà
2024 J jnl
∇ τ: Gradient-based and Task-Agnostic machine Unlearning.
CoRR
Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
2023 J jnl
Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels.
CoRR
Farooq Ahmad Wani, Maria Sofia Bucarelli, Fabrizio Silvestri
2023 J jnl
False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture.
Sensors
Tommaso Bragatto, Marco Antonio Bucarelli, Maria Sofia Bucarelli, Federico Carere, Alberto Geri, Marco Maccioni
2023 J jnl
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design.
CoRR
Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio
2023 A* conf
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels.
CVPR
Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri
2023 A* conf
On Generalization Bounds for Projective Clustering.
NeurIPS
Maria Sofia Bucarelli, Matilde Fjeldsø Larsen, Chris Schwiegelshohn, Mads Toftrup
2023 J jnl
On Generalization Bounds for Projective Clustering.
CoRR
Maria Sofia Bucarelli, Matilde Fjeldsø Larsen, Chris Schwiegelshohn, Mads Bech Toftrup
2022 B conf
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.
IJCNN
Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
2021 J jnl
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.
CoRR
Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri