This inventor holds 1 USPTO granted patent. Top assignee: Seoul National University. 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: Uiwon Hwang: Inventor in Generative Model Training.
Introduction
Uiwon Hwang is an inventor based in Seoul, South Korea. His patent work concerns methods for training generative models when labeled data is limited or unavailable.
Latest Patents
Hwang is associated with 1 patent: “Method and Apparatus for Training Unsupervised Conditional Generative Model.” The invention describes a way to train a generative model robustly when training data lacks labels, salient attributes are unevenly distributed, or only a small number of examples are labeled for a desired attribute. The method learns parameters for a latent distribution, a generative model, and an encoder.
Career Highlights
Hwang is associated with Seoul National University. His patent reflects research into unsupervised learning and conditional generative modeling.
Collaborations
His listed coworkers include Sungroh Yoon and Heeseung Kim.
Conclusion
Uiwon Hwang’s patent focuses on making conditional generative models more robust when labeled examples are scarce or unevenly distributed.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile