Garrett Raymond Honke

Title: Garrett Raymond Honke and His Patent Contributions.

Introduction

Garrett Raymond Honke is an inventor based in Mountain View, California. His patent work addresses machine-learning model evaluation and methods for finding coherent inferences across different domains.

Latest Patents

Honke’s listed patent portfolio includes 2 patents.

“Characterization of machine-learning models” describes systems and methods for assessing machine-learning models using training data and challenge queries. The approach embeds training data and queries as vectors in a shared vector space, then uses neighborhood density to determine a quality metric for each challenge query.

“Finding coherent inferences across domains” concerns using mutual constraint satisfaction to sample candidate representations from different stochastic processes. The disclosed method evaluates candidate representations across domains and selects coherent results, which may then be used as input to a downstream computer process.

Career Highlights

Honke is associated with X Development LLC. His disclosed inventions reflect work at the intersection of machine learning, vector representations, and computational inference.

Collaborations

Alberto Camacho Martinez is identified as a coworker. The available information does not specify a particular patent collaboration between them.

Conclusion

Garrett Raymond Honke’s two listed patents focus on evaluating machine-learning models and identifying coherent inferences across domains, highlighting complementary approaches to computational analysis.