Patents by Inventor Michael Curtis Mozer

Michael Curtis Mozer 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).

  • Publication number: 20240119366
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for online training of machine learning models predicting time-series data. In one aspect, a method comprises training a machine learning model having a plurality of weights by maintaining weight data, specifying a plurality of sub-weights for each of the plurality of weights and covariance data that estimates the joint uncertainty between the sub-weights, and, at each of a plurality of time steps, receiving model inputs, processing the model inputs using the weight data to generate corresponding model outputs, receiving corresponding ground truth outputs, and updating the weight data using the corresponding ground truth outputs.
    Type: Application
    Filed: September 28, 2023
    Publication date: April 11, 2024
    Inventors: Matthew Jones, Michael Curtis Mozer
  • Publication number: 20220253695
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing a network input using a parallel cascaded neural network that includes multiple neural network blocks that each have a skip connection and a propagation delay. Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training parallel cascaded neural networks using temporal difference learning are also described.
    Type: Application
    Filed: December 22, 2021
    Publication date: August 11, 2022
    Inventors: Michael Curtis Mozer, Michael Louis Iuzzolino, Samuel Bengio