BUCARELLI, MARIA SOFIA
BUCARELLI, MARIA SOFIA
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A topological description of loss surfaces based on Betti Numbers
2024 Bucarelli, Maria Sofia; D'Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio
False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture
2023 Bragatto, Tommaso; Bucarelli, MARCO ANTONIO; Bucarelli, MARIA SOFIA; Carere, Federico; Geri, Alberto; Maccioni, Marco
ICML topological deep learning challenge 2024. Beyond the graph domain
2024 Bernárdez, Guillermo; Telyatnikov, Lev; Montagna, Marco; Baccini, Federica; Papillon, Mathilde; Ferriol-Galmés, Miquel; Hajij, Mustafa; Papamarkou, Theodore; Bucarelli, Maria Sofia; Zaghen, Olga; Mathe, Johan; Myers, Audun; Mahan, Scott; Lillemark, Hansen; Vadgama, Sharvaree; Bekkers, Erik; Doster, Tim; Emerson, Tegan; Kvinge, Henry; Agate, Katrina; K Ahmed, Nesreen; Bai, Pengfei; Banf, Michael; Battiloro, Claudio; Beketov, Maxim; Bogdan, Paul; Carrasco, Martin; Cavallo, Andrea; Young Choi, Yun; Dasoulas, George; Elphick, Matouš; Escalona, Giordan; Filipiak, Dominik; Fritze, Halley; Gebhart, Thomas; Gil-Sorribes, Manel; Goomanee, Salvish; Guallar, Victor; Imasheva, Liliya; Irimia, Andrei; Jin, Hongwei; Johnson, Graham; Kanakaris, Nikos; Koloski, Boshko; Kovač, Veljko; Lecha, Manuel; Lee, Minho; Leroy, Pierrick; Long, Theodore; Magai, German; Martinez, Alvaro; Masden, Marissa; Mežnar, Sebastian; Miquel-Oliver, Bertran; Molina, Alexis; Nikitin, Alexander; Nurisso, Marco; Piekenbrock, Matt; Qin, Yu; Rygiel, Patryk; Salatiello, Alessandro; Schattauer, Max; Snopov, Pavel; Suk, Julian; Sánchez, Valentina; Tec, Mauricio; Vaccarino, Francesco; Verhellen, Jonas; Wantiez, Frederic; Weers, Alexander; Zajec, Patrik; Škrlj, Blaž; Miolane, Nina
Improving reliability in deep learning: exploring generalization bounds, noisy label handling, and loss surface characterization
2024 Bucarelli, MARIA SOFIA
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
2024 Wani, FAROOQ AHMAD; Bucarelli, MARIA SOFIA; Silvestri, Fabrizio
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
2023 Bucarelli, MARIA SOFIA; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio
Link Prediction with Physics-Inspired Graph Neural Networks
2025 Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks
2022 Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio
On Generalization Bounds for Projective Clustering
2023 Bucarelli, MARIA SOFIA; Larsen, Matilde; Schwiegelshohn, Chris; Toftrup, Mads
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks
2024 Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Di Francesco, Andrea Giuseppe; Pryymak, Oleksandr; Silvestri, Fabrizio
Task Singular Vectors: Reducing Task Interference in Model Merging
2025 Gargiulo, Antonio Andrea; Crisostomi, Donato; Bucarelli, Maria Sofia; Scardapane, Simone; Silvestri, Fabrizio; Rodolà, Emanuele
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A topological description of loss surfaces based on Betti Numbers | 2024 | Bucarelli, Maria Sofia; D'Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio | |
| False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture | 2023 | Bragatto, Tommaso; Bucarelli, MARCO ANTONIO; Bucarelli, MARIA SOFIA; Carere, Federico; Geri, Alberto; Maccioni, Marco | |
| ICML topological deep learning challenge 2024. Beyond the graph domain | 2024 | Bernárdez, Guillermo; Telyatnikov, Lev; Montagna, Marco; Baccini, Federica; Papillon, Mathilde; Ferriol-Galmés, Miquel; Hajij, Mustafa; Papamarkou, Theodore; Bucarelli, Maria Sofia; Zaghen, Olga; Mathe, Johan; Myers, Audun; Mahan, Scott; Lillemark, Hansen; Vadgama, Sharvaree; Bekkers, Erik; Doster, Tim; Emerson, Tegan; Kvinge, Henry; Agate, Katrina; K Ahmed, Nesreen; Bai, Pengfei; Banf, Michael; Battiloro, Claudio; Beketov, Maxim; Bogdan, Paul; Carrasco, Martin; Cavallo, Andrea; Young Choi, Yun; Dasoulas, George; Elphick, Matouš; Escalona, Giordan; Filipiak, Dominik; Fritze, Halley; Gebhart, Thomas; Gil-Sorribes, Manel; Goomanee, Salvish; Guallar, Victor; Imasheva, Liliya; Irimia, Andrei; Jin, Hongwei; Johnson, Graham; Kanakaris, Nikos; Koloski, Boshko; Kovač, Veljko; Lecha, Manuel; Lee, Minho; Leroy, Pierrick; Long, Theodore; Magai, German; Martinez, Alvaro; Masden, Marissa; Mežnar, Sebastian; Miquel-Oliver, Bertran; Molina, Alexis; Nikitin, Alexander; Nurisso, Marco; Piekenbrock, Matt; Qin, Yu; Rygiel, Patryk; Salatiello, Alessandro; Schattauer, Max; Snopov, Pavel; Suk, Julian; Sánchez, Valentina; Tec, Mauricio; Vaccarino, Francesco; Verhellen, Jonas; Wantiez, Frederic; Weers, Alexander; Zajec, Patrik; Škrlj, Blaž; Miolane, Nina | |
| Improving reliability in deep learning: exploring generalization bounds, noisy label handling, and loss surface characterization | 2024 | Bucarelli, MARIA SOFIA | |
| Learning with Noisy Labels through Learnable Weighting and Centroid Similarity | 2024 | Wani, FAROOQ AHMAD; Bucarelli, MARIA SOFIA; Silvestri, Fabrizio | |
| Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels | 2023 | Bucarelli, MARIA SOFIA; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio | |
| Link Prediction with Physics-Inspired Graph Neural Networks | 2025 | Di Francesco, Andrea Giuseppe; Caso, Francesco; Bucarelli, Maria Sofia; Silvestri, Fabrizio | |
| NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks | 2022 | Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio | |
| On Generalization Bounds for Projective Clustering | 2023 | Bucarelli, MARIA SOFIA; Larsen, Matilde; Schwiegelshohn, Chris; Toftrup, Mads | |
| Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks | 2024 | Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Di Francesco, Andrea Giuseppe; Pryymak, Oleksandr; Silvestri, Fabrizio | |
| Task Singular Vectors: Reducing Task Interference in Model Merging | 2025 | Gargiulo, Antonio Andrea; Crisostomi, Donato; Bucarelli, Maria Sofia; Scardapane, Simone; Silvestri, Fabrizio; Rodolà, Emanuele |