Patents by Inventor Issam LARADJI

Issam LARADJI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for meaningful counterfactual explanations
    Patent number: 11961287
    Abstract: A computer-implemented method for explaining an image classifier, the method comprising: receiving an initial image, the initial image having been wrongly classified by the image classifier; receiving an initial gradient of a function executed by the image classifier generated while classifying the initial image, the function being indicative of a probability for the initial image to belong to an initial class; converting the initial image into a latent vector, the latent vector being a representation of the initial image in a latent space; generating a plurality of perturbation vectors using the initial gradient of the function executed by the image classifier; combining the latent vector with each one of the plurality of perturbation vectors, thereby obtaining a plurality of modified vectors; for each one of the plurality of modified vectors, reconstructing a respective image, thereby obtaining a plurality of reconstructed images; transmitting the reconstructed images to the image classifier; for each one o
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: April 16, 2024
    Assignee: SERVICENOW CANADA INC.
    Inventors: Pau Rodriguez Lopez, Massimo Caccia, Lee Zamparo, Issam Laradji, Alexandre Lacoste, David Vazquez Bermudez
  • METHOD AND SYSTEM FOR MEANINGFUL COUNTERFACTUAL EXPLANATIONS
    Publication number: 20220130143
    Abstract: A computer-implemented method for explaining an image classifier, the method comprising: receiving an initial image, the initial image having been wrongly classified by the image classifier; receiving an initial gradient of a function executed by the image classifier generated while classifying the initial image, the function being indicative of a probability for the initial image to belong to an initial class; converting the initial image into a latent vector, the latent vector being a representation of the initial image in a latent space; generating a plurality of perturbation vectors using the initial gradient of the function executed by the image classifier; combining the latent vector with each one of the plurality of perturbation vectors, thereby obtaining a plurality of modified vectors; for each one of the plurality of modified vectors, reconstructing a respective image, thereby obtaining a plurality of reconstructed images; transmitting the reconstructed images to the image classifier; for each one o
    Type: Application
    Filed: October 4, 2021
    Publication date: April 28, 2022
    Applicant: ServiceNow Canada Inc.
    Inventors: Pau RODRIGUEZ LOPEZ, Massimo CACCIA, Lee ZAMPARO, Issam LARADJI, Alexandre LACOSTE, David VAZQUEZ BERMUDEZ