Alvaro Arroyo

According to our database, Alvaro Arroyo authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Mechanistic Analysis of Looped Reasoning Language Models.

Hugh Blayney, Alvaro Arroyo, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Michael M. Bronstein, Xiaowen Dong

CoRR, April, 2026

A Survey on Over-smoothing and Over-squashing: Unified Propagation Perspectives on Graph Neural Networks and Transformers.

Alvaro Arroyo, Federico Barbero, Hugh Blayney, Michael M. Bronstein, Xiaowen Dong, Pietro Lio, Razvan Pascanu, Pierre Vandergheynst

Trans. Mach. Learn. Res., 2026

2025

gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity.

Hugh Blayney, Alvaro Arroyo, Xiaowen Dong, Michael M. Bronstein

CoRR, October, 2025

Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin.

Enrique Queipo-de-Llano, Alvaro Arroyo, Federico Barbero, Xiaowen Dong, Michael M. Bronstein, Yann LeCun, Ravid Shwartz-Ziv

CoRR, October, 2025

Why do LLMs attend to the first token?

Federico Barbero, Alvaro Arroyo, Xiangming Gu, Christos Perivolaropoulos, Michael M. Bronstein, Petar Velickovic, Razvan Pascanu

CoRR, April, 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

CoRR, February, 2025

Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks.

Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Xiaowen Dong, Kamyar Azizzadenesheli, Pierre Vandergheynst

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures.

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

CoRR, 2024

Rough Transformers for Continuous and Efficient Time-Series Modelling.

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

CoRR, 2024

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching.

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces.

Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong

CoRR, 2023

Projections of Model Spaces for Latent Graph Inference.

Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner

CoRR, 2023

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization.

Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification.

Alvaro Arroyo, Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Nonstationary Portfolios: Diversification in the Spectral Domain.

Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2021