This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Christopher Braunholz: Neural Network Verification Inventor
Introduction
Christopher Braunholz is an inventor based in Korntal-Münchingen, Germany. His patent work concerns methods for verifying implemented neural networks, an important step in assessing whether a deployed system behaves as intended.
Latest Patents
Braunholz is associated with 1 patent, titled “Method for Verifying an Implemented Neural Network.” The method provides a set of validation images and feeds them to both an original neural network and an implemented version. It determines the original network’s activation coverage across the validation images, compares that coverage with a target, and compares the corresponding output images from both networks to help verify the implementation.
Career Highlights
Braunholz is associated with Robert Bosch. His patent reflects work on systematic validation of neural network implementations by examining both activation coverage and output consistency.
Collaborations
The provided information identifies Nicola Pirlo and Paul Ruhnau as Braunholz’s coworkers. Their names are associated with his professional context, though specific collaborative roles are not provided.
Conclusion
Christopher Braunholz’s patent focuses on a structured approach to checking neural network implementations, combining coverage analysis with comparisons of network outputs.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile