Patents by Inventor Jeremy Adam Malloch

Jeremy Adam Malloch 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).

  • Multi-objective bayesian optimization of machine learning model for autonomous vehicle operation
    Patent number: 12128923
    Abstract: Machine learning model optimization systems and methods are disclosed. A system receives sensor data captured by one or more sensors of a vehicle during a first time period. The vehicle uses a first trained machine learning (ML) model for one or more decisions of a first decision type during the first time period. The system generates a second trained ML model at least in part by using the sensor data to train the second trained ML model. The system identifies an optimal trained ML model from a plurality of trained ML models. The plurality of trained ML models includes the first trained ML model and the second trained ML model. The system causes the vehicle to use the optimal trained ML model for one or more further decisions of the first decision type during a second time period after the first time period.
    Type: Grant
    Filed: March 9, 2022
    Date of Patent: October 29, 2024
    Assignee: GM Cruise Holdings LLC
    Inventors: Jeremy Adam Malloch, Burkay Donderici, Siyuan Lu
  • MULTI-OBJECTIVE BAYESIAN OPTIMIZATION OF MACHINE LEARNING MODEL FOR AUTONOMOUS VEHICLE OPERATION
    Publication number: 20230286539
    Abstract: Machine learning model optimization systems and methods are disclosed. A system receives sensor data captured by one or more sensors of a vehicle during a first time period. The vehicle uses a first trained machine learning (ML) model for one or more decisions of a first decision type during the first time period. The system generates a second trained ML model at least in part by using the sensor data to train the second trained ML model. The system identifies an optimal trained ML model from a plurality of trained ML models. The plurality of trained ML models includes the first trained ML model and the second trained ML model. The system causes the vehicle to use the optimal trained ML model for one or more further decisions of the first decision type during a second time period after the first time period.
    Type: Application
    Filed: March 9, 2022
    Publication date: September 14, 2023
    Inventors: Jeremy Adam Malloch, Burkay Donderici, Siyuan Lu