Byung-Gon Chun

Title: Byung-Gon Chun: Innovator in Machine Learning Adaptation

Introduction

Byung-Gon Chun is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on adapting classical machine learning models to neural networks, showcasing his expertise in this rapidly evolving area of technology.

Latest Patents

Byung-Gon Chun holds a patent for a "Neural adapter for classical machine learning (ML) models." This invention provides solutions for adapting machine learning models to neural networks. The process involves receiving an ML pipeline comprising a plurality of operators, determining operator dependencies within the ML pipeline, and selecting corresponding neural network modules from a translation dictionary. The invention also includes methods for tuning the translated neural network using backpropagation and optimizing selections when multiple corresponding modules are available.

Career Highlights

Byung-Gon Chun is currently employed at Microsoft Technology Licensing, LLC. His role at this prominent technology company allows him to work on cutting-edge innovations in machine learning and artificial intelligence. His contributions are instrumental in advancing the capabilities of neural networks and their applications in various fields.

Collaborations

Byung-Gon Chun collaborates with talented individuals such as Matteo Interlandi and Markus Weimer. These partnerships enhance the development of innovative solutions in machine learning and contribute to the success of their projects.

Conclusion

Byung-Gon Chun is a distinguished inventor whose work in adapting machine learning models to neural networks is paving the way for future advancements in artificial intelligence. His patent and collaborations reflect his commitment to innovation in this dynamic field.