25 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Generating High-quality Privacy-preserving Synthetic Data
David Yavo, Richard Khoury, Christophe Pere +1
Synthetic tabular data enables sharing and analysis of sensitive records, but its practical deployment requires balancing distributional fidelity, downstream utility, and privacy p…
quant-ph2022★ 25 cited
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms
Javier Mancilla, Christophe Pere
Quantum Machine Learning (QML) hasn't yet demonstrated extensively and clearly its advantages compared to the classical machine learning approach. So far, there are only specific c…