Te Aro, New Zealand

Quentin Gabriel Thurier

This inventor holds 1 USPTO granted patent. Top assignee: Xero Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Quentin Gabriel Thurier. Retrieved from https://idiyas.com/inventor/quentin-gabriel-thurier-2yoiv6ew

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Quentin Gabriel Thurier: Innovator in Attribute Prediction Models

Introduction

Quentin Gabriel Thurier is a notable inventor based in Te Aro, New Zealand. He has made significant contributions to the field of machine learning, particularly in the development of methods for training attribute prediction models. His innovative approach has garnered attention in the tech community.

Latest Patents

Thurier holds a patent for "Methods and systems for training attribute prediction models." This patent describes a method that involves determining a training dataset of example documents, each associated with first and second hierarchical level category labels. The method includes generating predicted hierarchical level categories, determining loss values based on these predictions, and adjusting weights of the numerical representation generation model accordingly. He has 1 patent to his name.

Career Highlights

Quentin is currently employed at Xero Limited, a company known for its cloud-based accounting software. His work at Xero focuses on enhancing predictive modeling techniques, which are crucial for improving user experience and operational efficiency.

Collaborations

Thurier collaborates with talented individuals such as Soon-Ee Cheah and Delia Rusu. Their combined expertise contributes to the innovative projects at Xero Limited.

Conclusion

Quentin Gabriel Thurier is a forward-thinking inventor whose work in attribute prediction models is paving the way for advancements in machine learning. His contributions are valuable to the tech industry and reflect his commitment to 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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