ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,202, issued on Oct. 6, was assigned to JPMORGAN CHASE BANK N.A. (New York).
"Method and system for learnable augmentation for time series prediction under distribution shifts" was invented by Dat Huynh (Boston), Elizabeth Fons (London) and Svitlana Vyetrenko (Berkeley, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method and a system for using a learnable augmentation technique to perform few-shot calibration of a model that is designed to generate time series predictions under distribution shifts with improved accuracy are provided. The method includes: receiving first information that relates to a source distribution of a time series and ...