Patents by Inventor ELLEN R. KOLSTO

ELLEN R. KOLSTO 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).

  • Patent number: 11556569
    Abstract: A method, system, and computer program product for visualizing a machine learning model are provided. A confusion matrix and model performance metric data are received from a classification model. For each data point in the confusion matrix, a corresponding pixel is generated. The pixels are grouped into clusters. Each cluster represents a label in the confusion matrix. A centroid is generated for each cluster. Using the model performance metric data, a misclassification indicator arrow is generated for each misclassified data point. The misclassification indicator arrow indicates both the predicted class and the actual class. The clusters, the centroids, and the misclassification indicator arrow are displayed as a graphical visualization of the machine learning model.
    Type: Grant
    Filed: May 12, 2020
    Date of Patent: January 17, 2023
    Assignee: International Business Machines Corporation
    Inventors: Ellen R. Kolsto, Mark Marrara, Joel Russell Huffman, Stefan A. G. Van Der Stockt
  • Publication number: 20220391572
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of a visualization scheme of noise in a quantum circuit are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a calculation component that can calculate a noise state of a layer in a quantum circuit. The computer executable components can further comprise a visualization component that can render a visual representation of the noise state at the layer in the quantum circuit.
    Type: Application
    Filed: June 3, 2021
    Publication date: December 8, 2022
    Inventors: Joel Russell Huffman, Ellen R. Kolsto, Paul Gregory Kassebaum, Jennifer Ranae Glick, Mark Marrara
  • Publication number: 20210357802
    Abstract: A method, system, and computer program product for visualizing a machine learning model are provided. A confusion matrix and model performance metric data are received from a classification model. For each data point in the confusion matrix, a corresponding pixel is generated. The pixels are grouped into clusters. Each cluster represents a label in the confusion matrix. A centroid is generated for each cluster. Using the model performance metric data, a misclassification indicator arrow is generated for each misclassified data point. The misclassification indicator arrow indicates both the predicted class and the actual class. The clusters, the centroids, and the misclassification indicator arrow are displayed as a graphical visualization of the machine learning model.
    Type: Application
    Filed: May 12, 2020
    Publication date: November 18, 2021
    Inventors: ELLEN R. KOLSTO, Mark Marrara, Joel Russell Huffman, Stefan A. G. Van Der Stockt