activity
20172025
most citedBlind Multiclass Ensemble Classification

30 citations · 51 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Bounds in Sequential Unambiguous Discrimination of Multiple Pure Quantum States

Jordi Pérez-Guijarro, Alba Pagès-Zamora, Javier R. Fonollosa

Sequential methods for quantum hypothesis testing offer significant advantages over fixed-length approaches, which rely on a predefined number of state copies. Despite their potent…

quant-ph2024★ 1 cited

Extension of Clifford Data Regression Methods for Quantum Error Mitigation

Jordi Pérez-Guijarro, Alba Pagès-Zamora, Javier R. Fonollosa

To address the challenge posed by noise in real quantum devices, quantum error mitigation techniques play a crucial role. These techniques are resource-efficient, making them suita…

quant-ph2023

Relation between quantum advantage in supervised learning and quantum computational advantage

Jordi Pérez-Guijarro, Alba Pagès-Zamora, Javier R. Fonollosa

The widespread use of machine learning has raised the question of quantum supremacy for supervised learning as compared to quantum computational advantage. In fact, a recent work s…

stat.ML2019★ 7 cited

Generalization error bounds for kernel matrix completion and extrapolation

Pere Giménez-Febrer, Alba Pagès-Zamora, Georgios B. Giannakis

Prior information can be incorporated in matrix completion to improve estimation accuracy and extrapolate the missing entries. Reproducing kernel Hilbert spaces provide tools to le…

stat.ML2018★ 13 cited

Matrix completion and extrapolation via kernel regression

Pere Giménez-Febrer, Alba Pagès-Zamora, Georgios B. Giannakis

Matrix completion and extrapolation (MCEX) are dealt with here over reproducing kernel Hilbert spaces (RKHSs) in order to account for prior information present in the available dat…

stat.ML2017★ 30 cited

Blind Multiclass Ensemble Classification

Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis

The rising interest in pattern recognition and data analytics has spurred the development of innovative machine learning algorithms and tools. However, as each algorithm has its st…