Byoung Gyu Lew

Title: Byoung Gyu Lew and Machine Learning Domain Generalization.

Introduction

Byoung Gyu Lew is an inventor based in Seoul, South Korea. His work includes an invention addressing domain generalization for machine learning models.

Latest Patents

Lew is associated with 1 patent: “Apparatus for Domain Generalization of Machine Learning Models, Methods and Computer Readable Recording Mediums Therefor.” The invention describes methods and systems for adapting machine learning models to unseen domains. One method initializes parameters for two models from a pre-trained model, trains the second model on a task in a source domain, estimates an unobservable gradient for updates on an unseen domain using parameters from both models, and updates the first model based on that estimate.

Career Highlights

Lew is associated with Hyperconnect Inc. His patent work focuses on techniques intended to improve machine learning model generalization across domains.

Collaborations

The provided information identifies Bu Ru Chang and Dong Hyun Son as Lew’s coworkers.

Conclusion

Byoung Gyu Lew’s patent describes a method for estimating updates that can help machine learning models generalize from a source domain to an unseen domain.