Location History:
- Korntal-Meunchingen, DE (2021)
- Korntal-Muenchingen, DE (2021 - 2023)
Company Filing History:
Years Active: 2021-2025
Title: Martin Schiegg: Innovator in Machine Learning and Control Systems
Introduction
Martin Schiegg is a prominent inventor based in Korntal-Muenchingen, Germany. He has made significant contributions to the fields of machine learning and control systems, holding a total of 15 patents. His work focuses on developing advanced methods for training functions that control or monitor physical systems.
Latest Patents
One of Schiegg's latest patents is titled "Determining an output signal by aggregating parent instances." This invention describes a computer-implemented method for training a function that maps sensor measurements to an output signal. The function is parameterized by a set of parameters, including representations of multiple reference instances. The method identifies similar reference instances to a given training input instance and aggregates their representations to derive an output signal. This innovative approach enhances the accuracy of monitoring physical systems.
Another notable patent is related to a "computer-implemented machine learning system and a method for operating the machine learning system for determining a time series." This invention involves a generative model that characterizes a time series based on probabilistic variables. The system is designed to constrain values of the time series by physical constraints, ensuring that the output is reliable and applicable in real-world scenarios.
Career Highlights
Throughout his career, Martin Schiegg has worked with esteemed organizations such as Robert Bosch GmbH and the Max Planck Society for the Advancement of Science. His experience in these companies has allowed him to refine his skills and contribute to groundbreaking innovations in technology.
Collaborations
Schiegg has collaborated with notable professionals in his field, including Heiner Markert and Stefan Angermaier. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Martin Schiegg is a distinguished inventor whose work in machine learning and control systems has led to significant advancements in the field. His innovative patents and collaborations with leading organizations highlight his commitment to pushing the boundaries of technology.
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