Artículos de Revista 2025
- L. Paz-Arbaizar, J. López-Castromán, A. Artés-Rodríguez, P. M. Olmos, and D. Ramírez, “Emotion forecasting: A transformer-based approach,” J. Med. Internet Res., vol. 27, p. e63962, 2025.
- Hendrych, D., Besanccon, M., Martínez-Rubio, D., & Pokutta, S. (2025). Secant Line Search for Frank-Wolfe Algorithms.
- Roux, C., Mart’inez-Rubio, D., & Pokutta, S. (2025). Implicit Riemannian Optimism with Applications to Min-Max Problems. ArXiv, abs/2501.18381.
2024
- Y.-H. Xiao, D. Ramírez, L. Huang, X.-P. Li, and H. C. So, “One-bit target detection in colocated MIMO radar with colored background noise,” IEEE Trans. Signal Process., vol. 72, pp. 5274–5290, 2024.
- Contreras, J.P., Guzm’an, C., & Mart’inez-Rubio, D. (2024). Non-Euclidean High-Order Smooth Convex Optimization. ArXiv, abs/2411.08987.
Congresos
Rafa Salom, Álvaro Pico Rada , Juan Jesús Muñoz García, Helena García-Mieres, Antonio Artés-Rodríguez. Congreso de la Sociedad Española para el Estudio de la Ansiedad y el Estrés 2025. Comunicación oral: ALGORITMOS DE DETECCIÓN TEMPRANA EN PATOLOGÍA DUAL: UN ENFOQUE INNOVADOR PARA LA PREVENCIÓN DE RECAÍDAS. – EARLY DETECTION ALGORITHMS IN DUAL PATHOLOGY: AN INNOVATIVE APPROACH TO RELAPSE PREVENTION
Martínez-Rubio, D., Roux, C., Criscitiello, C. & Pokutta, S.. (2025). Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research 258:280-288
Vary, S., Martínez-Rubio, D. & Rebeschini, P.. (2025). Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research 258:4942-4950