Patents by Inventor Aryan Sisodia

Aryan Sisodia 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).

  • Prediction for time series data using a space partitioning data structure
    Patent number: 11315036
    Abstract: Techniques are disclosed for a computer system to predict a next sample for a data stream that specifies data values of one or more variables. A current subset of data values and previous subsets of data values is determined, and polyline simplification techniques may then be used on the subset to produce a reduced-sample current subset of data values that are converted to an angular coordinate system. A space partitioning data structure such as a k-dimensional tree that stores converted reduced-sample previous subsets of the data stream may then be traversed to determine one or more nearest neighbors to the current subset. The predicted next sample for the data stream may be generated from the nearest neighbors. The space partitioning data structure may be updated to include the current subset, and the process may be repeated with a new current subset.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: April 26, 2022
    Assignee: PayPal, Inc.
    Inventors: Raveendra Babu Chikkala, Aryan Sisodia, Ramaguru Ramasubbu
  • Prediction for Time Series Data Using a Space Partitioning Data Structure
    Publication number: 20200210886
    Abstract: Techniques are disclosed for a computer system to predict a next sample for a data stream that specifies data values of one or more variables. A current subset of data values and previous subsets of data values is determined, and polyline simplification techniques may then be used on the subset to produce a reduced-sample current subset of data values that are converted to an angular coordinate system. A space partitioning data structure such as a k-dimensional tree that stores converted reduced-sample previous subsets of the data stream may then be traversed to determine one or more nearest neighbors to the current subset. The predicted next sample for the data stream may be generated from the nearest neighbors. The space partitioning data structure may be updated to include the current subset, and the process may be repeated with a new current subset.
    Type: Application
    Filed: December 31, 2018
    Publication date: July 2, 2020
    Inventors: Raveendra Babu Chikkala, Aryan Sisodia, Ramaguru Ramasubbu