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2020 – today
- 2025
[i8]Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst:
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning. CoRR abs/2502.10818 (2025)- [i7]Federico Barbero, Alvaro Arroyo, Xiangming Gu, Christos Perivolaropoulos, Michael M. Bronstein, Petar Velickovic, Razvan Pascanu:
Why do LLMs attend to the first token? CoRR abs/2504.02732 (2025) - [i6]Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Kamyar Azizzadenesheli, Xiaowen Dong, Pierre Vandergheynst:
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks. CoRR abs/2506.07624 (2025) - 2024
- [c4]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching. NeurIPS 2024 - [i5]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers for Continuous and Efficient Time-Series Modelling. CoRR abs/2403.10288 (2024) - [i4]Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea:
Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures. CoRR abs/2405.20799 (2024) - 2023
- [c3]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. NeurIPS 2023 - [i3]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner:
Projections of Model Spaces for Latent Graph Inference. CoRR abs/2303.11754 (2023) - [i2]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. CoRR abs/2309.04810 (2023) - [i1]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. CoRR abs/2309.05678 (2023) - 2022
- [c2]Alvaro Arroyo, Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic:
Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification. ICASSP 2022: 5468-5472 - 2021
- [c1]Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic:
Nonstationary Portfolios: Diversification in the Spectral Domain. ICASSP 2021: 5155-5159
Coauthor Index
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