The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 25, 2024

Filed:

Jun. 23, 2023
Applicant:

Unlearn.ai, Inc., San Francisco, CA (US);

Inventors:

Luca D'Alessio, Medford, MA (US);

Rishabh Gupta, Somerville, MA (US);

Charles Kenneth Fisher, Truckee, CA (US);

Assignee:

Unlearn.AI, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06N 3/02 (2013.01);
Abstract

Systems and techniques for time-series forecasting are illustrated. One embodiment includes a method for refining time-series forecasts, the method obtains timestep information including baseline information, a time gap, and context information. The baseline information includes information known about the system at a time when the multivariate time-series is generated. The context information includes at least one vector of time-independent background variables related to the system. The method determines, based on the timestep information, parameter predictions for the system at a first timestep and a second timestep. The method derives actual state values for the system at the first timestep. The method updates the parameter predictions for the system at the second timestep, using a gating function, based on a discrepancy between: the parameter predictions for the system at the first timestep, and the actual state values for the system at the first timestep.


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