Nonstationary Portfolios: Diversification in the Spectral Domain. - Bruno Scalzo; Alvaro Arroyo; Ljubisa Stankovic; Danilo P. Mandic (ICASSP, 2021)

Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification. - Alvaro Arroyo; Bruno Scalzo; Ljubisa Stankovic; Danilo P. Mandic (ICASSP, 2022)

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 001 (NeurIPS, 2023)

Projections of Model Spaces for Latent Graph Inference. - Haitz Sáez de Ocáriz Borde; Alvaro Arroyo; Ingmar Posner (CoRR, 2023)

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. - Haitz Sáez de Ocáriz Borde; Alvaro Arroyo; Ismael Morales; Ingmar Posner; Xiaowen Dong 001 (CoRR, 2023)

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching. - Fernando Moreno-Pino; Alvaro Arroyo; Harrison Waldon; Xiaowen Dong 001; Álvaro Cartea (NeurIPS, 2024)

Rough Transformers for Continuous and Efficient Time-Series Modelling. - Fernando Moreno-Pino; Alvaro Arroyo; Harrison Waldon; Xiaowen Dong 001; Álvaro Cartea (CoRR, 2024)

Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures. - Fernando Moreno-Pino; Alvaro Arroyo; Harrison Waldon; Xiaowen Dong 001; Álvaro Cartea (CoRR, 2024)

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 001; Michael M. Bronstein; Pierre Vandergheynst (CoRR, 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, 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; Kamyar Azizzadenesheli; Xiaowen Dong 001; Pierre Vandergheynst (CoRR, 2025)