Patents by Inventor Matthew Colon

Matthew Colon 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).

  • Adaptive model insights visualization engine for complex machine learning models
    Patent number: 11544604
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for utilizing a parameterized notebook to adaptively generate visualizations regarding machine-learning models. In particular, the disclosed systems can generate a parameterized notebook based on a user-defined visualization recipe and provide parameter values that correspond to the machine-learning model to the parameterized notebook. Upon execution of the user-defined visualization recipe via the parameterized notebook, the disclosed systems can extract visualization data corresponding to the machine-learning model from the parameterized notebook. In addition, the disclosed systems can generate visualizations based on the visualization data and provide the generated visualizations for display in a graphical user interface.
    Type: Grant
    Filed: October 9, 2019
    Date of Patent: January 3, 2023
    Assignee: Adobe Inc.
    Inventors: Ashok Pancily Poothiyot, Vidit Bhatia, Matthew Colon
  • ADAPTIVE MODEL INSIGHTS VISUALIZATION ENGINE FOR COMPLEX MACHINE LEARNING MODELS
    Publication number: 20210110288
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for utilizing a parameterized notebook to adaptively generate visualizations regarding machine-learning models. In particular, the disclosed systems can generate a parameterized notebook based on a user-defined visualization recipe and provide parameter values that correspond to the machine-learning model to the parameterized notebook. Upon execution of the user-defined visualization recipe via the parameterized notebook, the disclosed systems can extract visualization data corresponding to the machine-learning model from the parameterized notebook. In addition, the disclosed systems can generate visualizations based on the visualization data and provide the generated visualizations for display in a graphical user interface.
    Type: Application
    Filed: October 9, 2019
    Publication date: April 15, 2021
    Inventors: Ashok Pancily Poothiyot, Vidit Bhatia, Matthew Colon