Mill Valley, CA, United States of America

Andre C Mazzone

This inventor holds 1 USPTO granted patent. Top assignee: Disney Enterprises, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andre C Mazzone. Retrieved from https://idiyas.com/inventor/andre-c-mazzone

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 = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Andre C Mazzone: Innovator in Adaptive Sampling Using Deep Learning

Introduction

Andre C Mazzone is a notable inventor based in Mill Valley, California. He has made significant contributions to the field of rendering technology through his innovative patent. His work focuses on enhancing the efficiency of rendering processes using advanced machine learning techniques.

Latest Patents

Mazzone holds a patent for "Adaptive sampling using deep learning." This patent outlines techniques for adaptive sampling in rendering pipelines. The process involves receiving a plurality of rendered pixel data at a sampler, which incorporates a machine learning model. The invention generates a sampling map based on predicted pixel values, ultimately improving image rendering quality.

Career Highlights

Andre C Mazzone is currently employed at Disney Enterprises, Inc., where he applies his expertise in machine learning and rendering technologies. His innovative approach has positioned him as a key player in the development of advanced rendering techniques.

Collaborations

Mazzone has collaborated with talented individuals such as Marios Papas and Gerhard Röthlin. These partnerships have contributed to the advancement of his projects and the overall success of the initiatives he is involved in.

Conclusion

Andre C Mazzone's work in adaptive sampling using deep learning represents a significant advancement in rendering technology. His contributions continue to influence the field and showcase the potential of machine learning in enhancing visual experiences.

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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