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:
Sep. 29, 2026

Filed:

Jun. 12, 2023
Applicant:

Juniper Networks, Inc., Sunnyvale, CA (US);

Inventors:

Ajit Krishna Patankar, Fremont, CA (US);

Aman Gaurav, Lucknow, IN;

Harshavardhan V S Choudary Battula, Saint Paul, MN (US);

Yash Verma, Agra, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/0475 (2023.01); G06N 3/094 (2023.01);
U.S. Cl.
CPC ...
G06N 3/0475 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/094 (2023.01);
Abstract

A device may receive real network data associated with a network, and may receive a random latent vector and a random process sample. The device may utilize the random latent vector with a generative adversarial network (GAN) model to generate synthetic network data, and may train the GAN model with the real network data and the synthetic network data to generate a trained GAN model. The device may utilize the random process sample with a random process to generate simulated network data, and may apply weights to the real network data, the synthetic network data, and the simulated network data to generate weighted real network data, weighted synthetic network data, and weighted simulated network data. The device may combine the weighted real network data, the weighted synthetic network data, and the weighted simulated network data to generate interpolated network data, and may perform actions based on the interpolated network data.


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