Valley Village, CA, United States of America

Eran Dvir

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zestfinance, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Eran Dvir. Retrieved from https://idiyas.com/inventor/eran-dvir-5qzb4jau

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 18.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Eran Dvir: Innovator in Machine Learning Model Evaluation

Introduction

Eran Dvir is a notable inventor based in Valley Village, CA (US). He has made significant contributions to the field of machine learning, particularly in model evaluation techniques. His innovative approach has garnered attention in the tech community.

Latest Patents

Eran Dvir holds a patent titled "Systems and methods for providing machine learning model evaluation by using decomposition." This patent focuses on evaluating a model by performing a decomposition process for a model output, relative to a baseline input data set. He has 1 patent to his name, showcasing his expertise in this specialized area.

Career Highlights

Eran Dvir is currently employed at ZestFinance, Inc., where he applies his knowledge and skills to advance the company's machine learning initiatives. His work is instrumental in developing innovative solutions that enhance model evaluation processes.

Collaborations

Eran has collaborated with notable professionals in his field, including Douglas C. Merrill and Michael Edward Ruberry. These partnerships have contributed to the development of cutting-edge technologies in machine learning.

Conclusion

Eran Dvir's contributions to machine learning model evaluation demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the industry and inspire future innovations.

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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