Barbero, Federico

15 publications

ICLR 2025 Bundle Neural Network for Message Diffusion on Graphs Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein

NeurIPS 2025 Generating Creative Chess Puzzles Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael D Dennis, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy

NeurIPS 2025 On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst

ICLR 2025 Round and Round We Go! What Makes Rotary Positional Encodings Useful? Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković

ICML 2025 SoftMax Is Not Enough (for Sharp Size Generalisation) Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu

ICMLW 2024 Bundle Neural Networks for Message Diffusion on Graphs Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein

NeurIPSW 2024 Enhancing the Expressivity of Temporal Graph Networks Through Source-Target Identification Benedict Aaron Tjandra, Federico Barbero, Michael M. Bronstein

ICLR 2024 Locality-Aware Graph Rewiring in GNNs Federico Barbero, Ameya Velingker, Amin Saberi, Michael M. Bronstein, Francesco Di Giovanni

NeurIPSW 2024 SoftMax Is Not Enough (For Sharp Out-of-Distribution) Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu

NeurIPSW 2024 SoftMax Is Not Enough (For Sharp Out-of-Distribution) Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu

NeurIPS 2024 Transformers Need Glasses! Information Over-Squashing in Language Tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G.M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković

ICMLW 2024 Transformers Need Glasses! Information Over-Squashing in Language Tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Guilherme Madeira Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković

ICLR 2023 Latent Graph Inference Using Product Manifolds Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Lio

ICML 2023 On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein

NeurIPSW 2022 Sheaf Attention Networks Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Pietro Lio