Patents by Inventor Nicolas Loeff

Nicolas Loeff 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: 20230018125
    Abstract: Methods, systems, and apparatus, including computer storage media, for performing multi-horizon forecasting on time-series data. A method includes determining short-term temporal characteristics for respective forecasting horizons of one or more time-steps. The determining can include generating, using RNN encoders, encoder vectors based on static covariates, and time-varying input data; and predicting using one or more RNN decoders, a short-term pattern for a respective future time period. The method can also include capturing long-term temporal characteristics for the respective forecasting horizons based on the static covariates, the time-varying input data captured during the respective past time-periods, and the time-varying known future input data.
    Type: Application
    Filed: November 25, 2020
    Publication date: January 19, 2023
    Inventors: Si Jie Bryan Lim, Sercan Omer Arik, Nicolas Loeff, Tomas Pfister
  • Publication number: 20220383145
    Abstract: A method for regression and time series forecasting includes obtaining a set of hierarchical time series, each time series in the set of hierarchical time series including a plurality of time series data values. The method includes determining, using the set of hierarchical time series, a basis regularization of the set of hierarchical time series and an embedding regularization of the set of hierarchical time series. The method also includes training a model using the set of hierarchical time series and a loss function based on the basis regularization and the embedding regularization. The method includes forecasting, using the trained model and one of the time series in the set of hierarchical time series, an expected time series data value in the one of the time series.
    Type: Application
    Filed: May 25, 2022
    Publication date: December 1, 2022
    Applicant: Google LLC
    Inventors: Rajat Sen, Shuxin Nie, Yaguang Li, Abhimanyu Das, Nicolas Loeff, Ananda Theertha Suresh, Pranjal Awasthi, Biswajit Paria