Heidelberg, Germany

Stefan Klaus Baur

This inventor holds 7 USPTO granted patents and 5 published patent applications. Top assignee: Sap Se. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stefan Klaus Baur. Retrieved from https://idiyas.com/inventor/stefan-klaus-baur

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 7 

% Patents Active = 85.7

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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7 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Stefan Klaus Baur

Introduction

Stefan Klaus Baur is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of technology, particularly in machine learning and document processing. With a total of 7 patents to his name, Baur continues to push the boundaries of innovation.

Latest Patents

One of Baur's latest patents is titled "Self-attentive key-value extraction." This invention provides systems and methods for the automated identification of key-value pairs in documents. The process begins with receiving a document that includes readable text. The document is then processed to determine a plurality of tokens from the text. Pairs of vectors corresponding to these tokens are established, each consisting of a query vector and a key vector. Attention scores for the tokens are calculated using these vector pairs, and the scores are normalized to generate normalized attention scores. This method allows for the identification of connected tokens within the document.

Another significant patent by Baur is focused on "Incremental training for reducing performance degradation in machine learning models." This invention encompasses methods, systems, and computer-readable storage media aimed at the incremental training of machine learning models using incremental data. The goal is to reduce the degradation of performance over time. The implementations of this patent minimize the overhead in terms of time and technical resources required to retrain models using full sets of training data. Through incremental training, the performance of machine learning models can meet or exceed that achieved through training on entire data sets, while also reducing training times.

Career Highlights

Stefan Klaus Baur is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His work at SAP has allowed him to develop and refine his innovative ideas, contributing to the company's technological advancements.

Collaborations

Baur has collaborated with several talented individuals in his field, including Hoang-Vu Nguyen and Matthias Frank. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Stefan Klaus Baur's contributions to the fields of machine learning and document processing exemplify the spirit of innovation. His patents reflect a commitment to enhancing technology and improving efficiency in various applications. Baur's work continues to inspire future advancements in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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