Patents by Inventor Maximilian DREYER

Maximilian DREYER 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).

  • Analyzing an inference of a machine learning predictor
    Publication number: 20250094811
    Abstract: A relevance score for a predictor portion of a machine learning predictor is determined by performing a reverse propagation of an initial relevance score, which is attributed to a first predetermined predictor portion, along propagation paths of the machine learning predictor, and by filtering the reverse propagation with respect to a second predetermined predictor portion. Furthermore, respective affiliation scores for a set of data structures with respect to a predictor portion of a machine learning predictor are determined by performing reverse propagations of an initial relevance score from a first predetermined predictor portion to the predictor portion.
    Type: Application
    Filed: December 3, 2024
    Publication date: March 20, 2025
    Inventors: Reduan ACHTIBAT, Maximilian DREYER, Ilona EISENBRAUN, Sebastian BOSSE, Thomas WIEGAND, Wojciech SAMEK, Sebastian LAPUSCHKIN