Mountain View, CA, United States of America

Aaron Thomas Parisi

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aaron Thomas Parisi. Retrieved from https://idiyas.com/inventor/aaron-thomas-parisi

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aaron Thomas Parisi: Innovator in Generative Models

Introduction

Aaron Thomas Parisi is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of generative models, showcasing his expertise through his innovative patent.

Latest Patents

Aaron holds a patent titled "Tuning Generative Models Using Latent-Variable Inference." This patent reflects his advanced understanding of machine learning and generative modeling techniques. He has 1 patent to his name, demonstrating his commitment to innovation in technology.

Career Highlights

Aaron is currently employed at Google Inc., where he applies his skills and knowledge to develop cutting-edge technologies. His work at such a prestigious company highlights his capabilities as an inventor and researcher in the tech industry.

Collaborations

Throughout his career, Aaron has collaborated with talented individuals such as David Martin Dohan and Tuan Anh Le. These collaborations have likely contributed to his success and the advancement of his projects.

Conclusion

Aaron Thomas Parisi is a distinguished inventor whose work in generative models has made a significant impact in the field. His contributions continue to shape the future of technology and innovation.

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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