Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning. - Luca Candelori; Alexander G. Abanov; Jeffrey Berger; Cameron J. Hogan; Vahagn Kirakosyan; Kharen Musaelian; Ryan Samson; James E. T. Smith; Dario Villani; Martin T. Wells; Mengjia Xu (CoRR, 2024)

Rational local unitary invariants of symmetrically mixed states of two qubits. - Luca Candelori; Vladimir Y. Chernyak; John R. Klein; Nick Rekuski (Adv. Appl. Math., 2024)

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability. - Giuseppe Di Caro; Vahagn Kirakosyan; Alexander G. Abanov; Luca Candelori; Nadine Hartmann; Ernest T. Lam; Kharen Musaelian; Ryan Samson; Dario Villani; Martin T. Wells; Richard J. Wenstrup; Mengjia Xu (CoRR, 2025)

Supervised Similarity for Firm Linkages. - Ryan Samson; Adrian Banner; Luca Candelori; Sebastien Cottrell; Tiziana Di Matteo; Paul Duchnowski; Vahagn Kirakosyan; Jose Marques; Kharen Musaelian; Stefano Pasquali; Ryan Stever; Dario Villani (CoRR, 2025)

Quantum Geometry of Data. - Alexander G. Abanov; Luca Candelori; Harold C. Steinacker; Martin T. Wells; Jerome R. Busemeyer; Cameron J. Hogan; Vahagn Kirakosyan; Nicola Marzari; Sunil Pinnamaneni; Dario Villani; Mengjia Xu; Kharen Musaelian (CoRR, 2025)