2 papers
q-fin.ST2025
Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning
Joshua Rosaler, Luca Candelori, Vahagn Kirakosyan +5
We investigate the application of quantum cognition machine learning (QCML), a novel paradigm for both supervised and unsupervised learning tasks rooted in the mathematical formali…
stat.ML2024
Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning
Luca Candelori, Alexander G. Abanov, Jeffrey Berger +8
We propose a new data representation method based on Quantum Cognition Machine Learning and apply it to manifold learning, specifically to the estimation of intrinsic dimension of…