Patents by Inventor Johannes W. Schmude

Johannes W. Schmude 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).

  • Combining point observations with raster data for machine learning
    Patent number: 11580387
    Abstract: A computer produces predictions throughout a raster field in response to point data, by obtaining a partially empty matrix of point data, filling a matrix of extrapolated raster data by dilating the point data in a first convolutional neural network, and generating a matrix of aggregate raster data by combining the extrapolated raster data with organic raster data in a second convolutional neural network.
    Type: Grant
    Filed: December 29, 2019
    Date of Patent: February 14, 2023
    Assignee: International Business Machines Corporation
    Inventors: Johannes W. Schmude, Siyuan Lu, Hendrik F. Hamann, Akihisa Sakurai, Taku Izumiyama, Masao Hasegawa
  • Combining forecasts of varying spatial and temporal resolution
    Patent number: 11366248
    Abstract: A method of generating an aggregate forecast includes obtaining historical forecasts for a number of time steps and at least one location, obtaining historical conditions for the time steps and the at least one location, training a machine learning algorithm to produce an aggregate historical forecast in response to the historical conditions and the historical forecasts, and producing an aggregate current forecast by running the trained machine learning algorithm on current forecasts. The historical forecasts and the current forecasts vary in at least one of spatial resolution or temporal resolution, and include a first forecast that is valid for a first time step and a second forecast that is valid for a second time step.
    Type: Grant
    Filed: December 29, 2019
    Date of Patent: June 21, 2022
    Assignee: International Business Machines Corporation
    Inventors: Johannes W. Schmude, Siyuan Lu, Hendrik F. Hamann, Akihisa Sakurai, Taku Izumiyama, Masao Hasegawa
  • COMBINING FORECASTS OF VARYING SPATIAL AND TEMPORAL RESOLUTION
    Publication number: 20210199850
    Abstract: A method of generating an aggregate forecast includes obtaining historical forecasts for a number of time steps and at least one location, obtaining historical conditions for the time steps and the at least one location, training a machine learning algorithm to produce an aggregate historical forecast in response to the historical conditions and the historical forecasts, and producing an aggregate current forecast by running the trained machine learning algorithm on current forecasts. The historical forecasts and the current forecasts vary in at least one of spatial resolution or temporal resolution, and include a first forecast that is valid for a first time step and a second forecast that is valid for a second time step.
    Type: Application
    Filed: December 29, 2019
    Publication date: July 1, 2021
    Inventors: Johannes W. Schmude, Siyuan Lu, Hendrik F. Hamann, Akihisa Sakurai, Taku Izumiyama, Masao Hasegawa
  • COMBINING POINT OBSERVATIONS WITH RASTER DATA FOR MACHINE LEARNING
    Publication number: 20210201129
    Abstract: A computer produces predictions throughout a raster field in response to point data, by obtaining a partially empty matrix of point data, filling a matrix of extrapolated raster data by dilating the point data in a first convolutional neural network, and generating a matrix of aggregate raster data by combining the extrapolated raster data with organic raster data in a second convolutional neural network.
    Type: Application
    Filed: December 29, 2019
    Publication date: July 1, 2021
    Inventors: Johannes W. Schmude, Siyuan Lu, Hendrik F. Hamann, Akihisa Sakurai, Taku Izumiyama, Masao Hasegawa