US Patent Issued to Salesforce on May 26 for "Systems and methods for self supervised multi-view representation learning for time series" (Singaporean Inventors)

ALEXANDRIA, Va., May 26 -- United States Patent no. 12,639,577, issued on May 26, was assigned to Salesforce Inc. (San Francisco).

"Systems and methods for self supervised multi-view representation learning for time series" was invented by Gerald Woo (Singapore), Doyen Sahoo (Singapore) and Chu Hong Hoi (Singapore).

According to the abstract* released by the U.S. Patent & Trademark Office: "A multi-view contrastive relational learning framework is provided. In the multi-view contrastive relational learning framework, contrastive learning is augmented with a multi-view learning signal. The auxiliary views guide an encoder of the underlying time series data's main view, by using an inter-sample similarity structure as a learning signal to l...