Patents by Inventor Nataniel Ruiz

Nataniel Ruiz 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).

  • Learning to simulate
    Patent number: 11518382
    Abstract: A method is provided for danger prediction. The method includes generating fully-annotated simulated training data for a machine learning model responsive to receiving a set of computer-selected simulator-adjusting parameters. The method further includes training the machine learning model using reinforcement learning on the fully-annotated simulated training data. The method also includes measuring an accuracy of the trained machine learning model relative to learning a discriminative function for a given task. The discriminative function predicts a given label for a given image from the fully-annotated simulated training data. The method additionally includes adjusting the computer-selected simulator-adjusting parameters and repeating said training and measuring steps responsive to the accuracy being below a threshold accuracy.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: December 6, 2022
    Inventors: Samuel Schulter, Nataniel Ruiz, Manmohan Chandraker
  • LEARNING TO SIMULATE
    Publication number: 20200094824
    Abstract: A method is provided for danger prediction. The method includes generating fully-annotated simulated training data for a machine learning model responsive to receiving a set of computer-selected simulator-adjusting parameters. The method further includes training the machine learning model using reinforcement learning on the fully-annotated simulated training data. The method also includes measuring an accuracy of the trained machine learning model relative to learning a discriminative function for a given task. The discriminative function predicts a given label for a given image from the fully-annotated simulated training data. The method additionally includes adjusting the computer-selected simulator-adjusting parameters and repeating said training and measuring steps responsive to the accuracy being below a threshold accuracy.
    Type: Application
    Filed: November 26, 2019
    Publication date: March 26, 2020
    Applicant: NEC Laboratories America, Inc.
    Inventors: Samuel Schulter, Nataniel Ruiz, Manmohan Chandraker