Scardapane, Simone

14 publications

AAAI 2025 Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane

TMLR 2025 Hypergraph Neural Networks Through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernardez, Olga Zaghen, Simone Scardapane, Pietro Lio

ICLRW 2025 Q-Filters: Leveraging Query-Key Geometry for Efficient Key-Value Cache Compression Nathan Godey, Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini, Éric Villemonte de la Clergerie, Benoît Sagot

CVPR 2025 Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà

NeurIPS 2024 Exploiting Activation Sparsity with Dense to Dynamic-K Mixture-of-Experts Conversion Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane

ICMLW 2024 Exploiting Activation Sparsity with Dense to Dynamic-K Mixture-of-Experts Conversion Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane

ICLR 2024 From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo

ICML 2024 Position: Topological Deep Learning Is the New Frontier for Relational Learning Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guowei Wei, Ghada Zamzmi

MLOSS 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

AISTATS 2023 EGG-GAE: Scalable Graph Neural Networks for Tabular Data Imputation Lev Telyatnikov, Simone Scardapane

CVPRW 2023 GeoMultiTaskNet: Remote Sensing Unsupervised Domain Adaptation Using Geographical Coordinates Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet

TMLR 2022 Centroids Matching: An Efficient Continual Learning Approach Operating in the Embedding Space Jary Pomponi, Simone Scardapane, Aurelio Uncini

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

ICMLW 2020 Pseudo-Rehearsal for Continual Learning with Normalizing Flows Jary Pomponi, Simone Scardapane, Aurelio Uncini