Bellevue, WA, United States of America

Maurice Diesendruck

USPTO Granted Patents = 8 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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8 patents (USPTO):Explore Patents

Title: Maurice Diesendruck: Innovator in Generative Machine Learning

Introduction

Maurice Diesendruck is a prominent inventor based in Bellevue, WA (US), known for his contributions to the field of generative machine learning. With a total of 8 patents to his name, he has made significant strides in developing innovative technologies that enhance image generation and data analysis.

Latest Patents

One of his latest patents focuses on generating large datasets of style-specific and content-specific images using generative machine-learning models. This patent describes a style-matching image generation system that produces large datasets of synthesized images, accurately matching the style and content of an initial small sample set of input images. The system utilizes a selection of style-mixed stored images and a generative machine-learning model to create diverse and varied image datasets.

Another notable patent addresses the connection nature between nodes in a graph structure. This invention interprets a graph data structure on a computing system, determining the significance of intermediary entities in the original path between nodes. The method assesses how the absence of these entities affects the path, providing insights into the importance of various connections within the graph.

Career Highlights

Maurice currently works at Microsoft Technology Licensing, LLC, where he continues to innovate and develop cutting-edge technologies. His work has positioned him as a key player in the field of machine learning and data analysis.

Collaborations

He collaborates with talented individuals such as Harsh Shrivastava and Robin Abraham, contributing to a dynamic and innovative work environment.

Conclusion

Maurice Diesendruck's contributions to generative machine learning and data structures highlight his role as a leading inventor in the technology sector. His patents reflect a commitment to advancing the capabilities of machine learning and image generation.

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