This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch. Active years: 2017.
Company Filing History:
Years Active: 2017
Title: Jens Schreiter: Innovator in Data-Based Function Model Calculation
Introduction
Jens Schreiter is a notable inventor based in Munich, Germany. He has made significant contributions to the field of data-based function model calculations. His innovative approach has led to the development of a unique patent that enhances the efficiency of Gaussian process models.
Latest Patents
Jens Schreiter holds a patent titled "Method and apparatus for supplying interpolation point data for a data-based function model calculation unit." This patent describes a method for identifying a set of interpolation point data points from training data for a sparse Gaussian process model. The process involves successively selecting training data points based on a selection criterion and terminating the selection when a specific termination criterion is met. The selection criterion is influenced by the divergence between a target value of the selected training data point and the function value of the Gaussian process model.
Career Highlights
Jens Schreiter is currently employed at Robert Bosch, a leading global engineering and technology company. His work at Bosch focuses on advancing data-driven methodologies that improve model calculations. With his expertise, he has contributed to the company's innovative projects and research initiatives.
Collaborations
Jens has collaborated with several talented individuals, including Heiner Markert and The Duy Nguyen-Tuong. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Jens Schreiter's contributions to the field of data-based function model calculations exemplify the impact of innovative thinking in technology. His patent and work at Robert Bosch highlight his commitment to advancing engineering solutions.