Patents by Inventor Swamim Narayan

Swamim Narayan 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).

  • Techniques for using multiple neural autoregressive flow model layers to generate a model for timeseries data forecasting
    Patent number: 12657438
    Abstract: Described are examples for generating a model for forecasting time series data. For a timeseries data set, one or more layers can be provided, where each layer in the one or more layers includes, for each timeseries data input in at least a portion of multiple timeseries data inputs, generating, for the timeseries data input, a short range output from a causal convolution process that is based on timeseries data inputs from the timeseries data set that are associated with timestamps within a threshold time before the timestamp of the timeseries data input, and generating, for the timeseries data input, a long range output from a transformer process based on the short range outputs from the causal convolution process for each timeseries data input from at least the portion of the multiple timeseries data inputs that are associated with timestamps before the timestamp of the timeseries data input.
    Type: Grant
    Filed: May 27, 2022
    Date of Patent: June 16, 2026
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chepuri Shri Krishna, Swamim Narayan, Kiran Rama, Ivan Barrientos, Vijay Srinivas Agneeswaran