US Patent Issued to ROYAL BANK OF CANADA on Feb. 25 for "System and method for machine learning architecture with adaptive importance sampling with normalizing flows" (Canadian Inventors)

ALEXANDRIA, Va., Feb. 26 -- United States Patent no. 12,236,369, issued on Feb. 25, was assigned to ROYAL BANK OF CANADA (Toronto).

"System and method for machine learning architecture with adaptive importance sampling with normalizing flows" was invented by Zhexin Lai (Toronto), Amir H. Khoshaman (Toronto) and Marcus A. Brubaker (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system for computational estimation sampling from non-trivial probability distributions. The system comprises a processor, operating in conjunction with computer memory. The processor is configured to conduct importance sampling using normalizing flows where a base distribution has a set of parameters that can be adjusted to ...