Federico Barbero

31 papers A* 8Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Over-smoothing and Over-squashing: Unified Propagation Perspectives on Graph Neural Networks and Transformers. Trans. Mach. Learn. Res. Alvaro Arroyo, Federico Barbero, Hugh Blayney, Michael M. Bronstein, Xiaowen Dong, Pietro Lio, Razvan Pascanu, Pierre Vandergheynst
2026	J	`jnl`	How do LLMs Compute Verbal Confidence. CoRR Dharshan Kumaran, Arthur Conmy, Federico Barbero, Simon Osindero, Viorica Patraucean, Petar Velickovic
2026	J	`jnl`	Perplexity Cannot Always Tell Right from Wrong. CoRR Petar Velickovic, Federico Barbero, Christos Perivolaropoulos, Simon Osindero, Razvan Pascanu
2025	J	`jnl`	Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin. CoRR Enrique Queipo-de-Llano, Alvaro Arroyo, Federico Barbero, Xiaowen Dong, Michael M. Bronstein, Yann LeCun, Ravid Shwartz-Ziv
2025	A*	`conf`	Bundle Neural Network for message diffusion on graphs. ICLR Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein
2025	J	`jnl`	Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions. CoRR Vivek Veeriah, Federico Barbero, Marcus Chiam, Xidong Feng, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Johan Obando-Ceron, Jiaxin Shi, Shaobo Hou, Satinder Singh, Nenad Tomasev, Tom Zahavy
2025	J	`jnl`	Extracting alignment data in open models. CoRR Federico Barbero, Xiangming Gu, Christopher A. Choquette-Choo, Chawin Sitawarin, Matthew Jagielski, Itay Yona, Petar Velickovic, Ilia Shumailov, Jamie Hayes
2025	J	`jnl`	Generating Creative Chess Puzzles. CoRR Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
2025	J	`jnl`	Interpreting the Repeated Token Phenomenon in Large Language Models. CoRR Itay Yona, Ilia Shumailov, Jamie Hayes, Federico Barbero, Yossi Gandelsman
2025	J	`jnl`	On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning. CoRR Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst
2025	A*	`conf`	Round and Round We Go! What makes Rotary Positional Encodings useful? ICLR Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic
2025	A*	`conf`	Softmax is not Enough (for Sharp Size Generalisation). ICML Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
2025	J	`jnl`	Wavelet-Induced Rotary Encodings: RoPE Meets Graphs. CoRR Isaac Reid, Arijit Sehanobish, Cederik Höfs, Bruno Mlodozeniec, Leonhard Vulpius, Federico Barbero, Adrian Weller, Krzysztof Choromanski, Richard E. Turner, Petar Velickovic
2025	J	`jnl`	Why do LLMs attend to the first token? CoRR Federico Barbero, Alvaro Arroyo, Xiangming Gu, Christos Perivolaropoulos, Michael M. Bronstein, Petar Velickovic, Razvan Pascanu
2024	J	`jnl`	Bundle Neural Networks for message diffusion on graphs. CoRR Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein
2024	J	`jnl`	Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification. CoRR Benedict Aaron Tjandra, Federico Barbero, Michael M. Bronstein
2024	A*	`conf`	Locality-Aware Graph Rewiring in GNNs. ICLR Federico Barbero, Ameya Velingker, Amin Saberi, Michael M. Bronstein, Francesco Di Giovanni
2024	J	`jnl`	Round and Round We Go! What makes Rotary Positional Encodings useful? CoRR Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic
2024	A*	`conf`	Transformers need glasses! Information over-squashing in language tasks. NeurIPS Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Guilherme Madeira Araújo, Oleksandr Vitvitskyi, Razvan Pascanu, Petar Velickovic
2024	J	`jnl`	Transformers need glasses! Information over-squashing in language tasks. CoRR Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G. M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
2024	J	`jnl`	softmax is not enough (for sharp out-of-distribution). CoRR Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
2023	A*	`conf`	Latent Graph Inference using Product Manifolds. ICLR Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
2023	J	`jnl`	Locality-Aware Graph-Rewiring in GNNs. CoRR Federico Barbero, Ameya Velingker, Amin Saberi, Michael M. Bronstein, Francesco Di Giovanni
2023	A*	`conf`	On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. ICML Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein
2023	J	`jnl`	On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. CoRR Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael M. Bronstein
2022	J	`jnl`	Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression. CoRR Haitz Sáez de Ocáriz Borde, Federico Barbero
2022	J	`jnl`	Latent Graph Inference using Product Manifolds. CoRR Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
2022	—	`conf`	Sheaf Neural Networks with Connection Laplacians. TAG-ML Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
2022	J	`jnl`	Sheaf Neural Networks with Connection Laplacians. CoRR Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
2022	A*	`conf`	Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift. SP Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro
2020	J	`jnl`	Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation. CoRR Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro