False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture von Bragatto, Tommaso, Bucarelli, Marco Antonio, Bucarelli, Maria Sofia, Carere, Federico, Geri, Alberto, Maccioni, Marco

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A topological description of loss surfaces based on Betti Numbers von Bucarelli, Maria Sofia, D’Inverno, Giuseppe Alessio, Bianchini, Monica, Scarselli, Franco, Silvestri, Fabrizio

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Learning with Noisy Labels through Learnable Weighting and Centroid Similarity von Wani, Farooq Ahmad, Bucarelli, Maria Sofia, Silvestri, Fabrizio

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Task Singular Vectors: Reducing Task Interference in Model Merging von Gargiulo, Antonio Andrea, Crisostomi, Donato, Bucarelli, Maria Sofia, Scardapane, Simone, Silvestri, Fabrizio, Rodolà, Emanuele

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ATM: Improving Model Merging by Alternating Tuning and Merging von Zhou, Luca, Solombrino, Daniele, Crisostomi, Donato, Bucarelli, Maria Sofia, Silvestri, Fabrizio, Rodolà, Emanuele

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nabla \tau$: Gradient-based and Task-Agnostic machine Unlearning von Trippa, Daniel, Campagnano, Cesare, Bucarelli, Maria Sofia, Tolomei, Gabriele, Silvestri, Fabrizio

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Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach von Di Francesco, Andrea Giuseppe, Caso, Francesco, Bucarelli, Maria Sofia, Silvestri, Fabrizio

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A topological description of loss surfaces based on Betti Numbers von Bucarelli, Maria Sofia, D'Inverno, Giuseppe Alessio, Bianchini, Monica, Scarselli, Franco, Silvestri, Fabrizio

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On Generalization Bounds for Projective Clustering von Bucarelli, Maria Sofia, Larsen, Matilde Fjeldsø, Schwiegelshohn, Chris, Toftrup, Mads Bech

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Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design von Telyatnikov, Lev, Bucarelli, Maria Sofia, Bernardez, Guillermo, Zaghen, Olga, Scardapane, Simone, Lio, Pietro

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NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks von Siciliano, Federico, Bucarelli, Maria Sofia, Tolomei, Gabriele, Silvestri, Fabrizio

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Learning with Noisy Labels through Learnable Weighting and Centroid Similarity von Farooq Ahmad Wani, Bucarelli, Maria Sofia, Silvestri, Fabrizio

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Task Singular Vectors: Reducing Task Interference in Model Merging von Gargiulo, Antonio Andrea, Donato Crisostomi, Bucarelli, Maria Sofia, Scardapane, Simone, Silvestri, Fabrizio, Rodolà, Emanuele

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ATM: Improving Model Merging by Alternating Tuning and Merging von Zhou, Luca, Solombrino, Daniele, Donato Crisostomi, Bucarelli, Maria Sofia, Silvestri, Fabrizio, Rodolà, Emanuele

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(\nabla \tau\): Gradient-based and Task-Agnostic machine Unlearning von Trippa, Daniel, Campagnano, Cesare, Bucarelli, Maria Sofia, Tolomei, Gabriele, Silvestri, Fabrizio

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Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach von Di Francesco, Andrea Giuseppe, Caso, Francesco, Bucarelli, Maria Sofia, Silvestri, Fabrizio

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Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design von Telyatnikov, Lev, Bucarelli, Maria Sofia, Bernardez, Guillermo, Zaghen, Olga, Scardapane, Simone, Lio, Pietro

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On Generalization Bounds for Projective Clustering von Bucarelli, Maria Sofia, Larsen, Matilde Fjeldsø, Schwiegelshohn, Chris, Mads Bech Toftrup

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ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain von 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, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, 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

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NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks von Siciliano, Federico, Bucarelli, Maria Sofia, Tolomei, Gabriele, Silvestri, Fabrizio

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