Freiburg, Germany

Simon Selg

This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Simon Selg: Innovator in Machine Learning Transfer Techniques

Introduction

Simon Selg is a prominent inventor based in Freiburg, Germany. He has made significant contributions to the field of machine learning, particularly in the area of transfer learning. His innovative approach has garnered attention for its potential applications in various technological domains.

Latest Patents

Simon Selg holds a patent for a "Method and device for transfer learning between modified tasks." This patent outlines a method for the transfer learning of hyperparameters of a machine learning algorithm. The process involves providing a current search space and a previous search space. A reduced search space is then created, and candidate configurations are drawn repeatedly at random from both the reduced and current search spaces. The machine learning algorithm is applied using these candidate configurations. A Tree Parzen Estimator (TPE) is created based on the candidate solutions and the results of the machine learning algorithm. The drawing of further candidate configurations from the current search space using the TPE is repeated multiple times, with the TPE being updated upon each drawing.

Career Highlights

Simon Selg is currently employed at Robert Bosch GmbH, where he continues to develop innovative solutions in machine learning. His work has positioned him as a key figure in the advancement of algorithms that enhance the efficiency and effectiveness of machine learning applications.

Collaborations

Throughout his career, Simon has collaborated with talented individuals such as Danny Stoll and Diane Wagner. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Simon Selg's contributions to the field of machine learning, particularly through his patented methods for transfer learning, highlight his role as an influential inventor. His work at Robert Bosch GmbH and collaborations with colleagues further emphasize his commitment to innovation in technology.

Profile summary based on public USPTO records.
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