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:
Apr. 18, 2023

Filed:

Mar. 09, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Youssef Mroueh, New York, NY (US);

Pierre L. Dognin, White Plains, NY (US);

Igor Melnyk, White Plains, NY (US);

Jarret Ross, Wichita, KS (US);

Tom D. J. Sercu, New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2023.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06N 3/0454 (2013.01); G06N 3/088 (2013.01);
Abstract

A computing device receives a data X and Y, each having N samples. A function f(x,y) is defined to be a trainable neural network based on the data X and the data Y. A permuted version of the data Y is created. A loss mean is computed based on the trainable neural network f(x,y), the permuted version of the sample data Y, and a trainable scalar variable η. A loss with respect to the scalar variable η and the trainable neural network is minimized. Upon determining that the loss is at or below the predetermined threshold, estimating a mutual information (MI) between a test data Xand Y. If the estimated MI is above a predetermined threshold, the test data Xand Yis deemed to be dependent. Otherwise, it is deemed to be independent.


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