La Jolla, CA, United States of America

Zachary Murez

This inventor holds 1 USPTO granted patent. Top assignee: Hrl Laboratories, LLC. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zachary Murez. Retrieved from https://idiyas.com/inventor/zachary-murez

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Zachary Murez

Introduction

Zachary Murez is an accomplished inventor based in La Jolla, California. He has made significant contributions to the field of deep learning and artificial intelligence. His innovative work focuses on adapting deep convolutional neural networks for various applications.

Latest Patents

Zachary Murez holds a patent for a "Domain Adaptation Learning System." This system is designed to adapt a deep convolutional neural network (CNN) trained on an annotated source image domain to a new target image domain. The process does not require new annotations, as it determines domain-agnostic features that map both the annotated source image domain and the target image domain to a joint latent space. This innovative approach allows for efficient mapping of the joint latent space to annotations for the target image domain.

Career Highlights

Zachary Murez is currently employed at Hrl Laboratories, LLC, where he continues to develop cutting-edge technologies. His work has positioned him as a key player in the advancement of machine learning techniques.

Collaborations

Zachary collaborates with talented individuals such as Soheil Kolouri and Kyungnam Kim. Their combined expertise fosters an environment of innovation and creativity.

Conclusion

Zachary Murez is a notable inventor whose work in domain adaptation learning systems showcases his commitment to advancing technology. His contributions are paving the way for future innovations in deep learning.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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