Christophe Gueret

Title: Innovations of Christophe Gueret

Introduction

Christophe Gueret is a notable inventor based in Donabate, Ireland. He has made significant contributions to the field of knowledge graphs and intelligent systems. With a total of three patents to his name, Gueret's work focuses on enhancing decision-making processes through innovative technologies.

Latest Patents

One of his latest patents is titled "Intelligent collaborative decision generation system with iterative prediction of link set in knowledge graph." This application relates to intelligent and explainable link prediction in knowledge graph systems that automatically incorporate user feedback. It discloses an iterative process for predicting a link set as a group of links in a knowledge graph in an embedding space. The process involves expanding the knowledge graph with predicted and validated single links in each iteration, allowing for a final set of links to be predicted based on previously added predicted links. Another significant patent is "Methods and systems for estimating causal effects from knowledge graphs." This method includes obtaining intervention application data and subject history data for a candidate group of subjects. It divides the candidate group into a reception subgroup that received an intervention and a rejected subgroup that did not. The method maps covariate value sets onto a knowledge graph and compares the two subgroups to determine a differential intervention effect.

Career Highlights

Christophe Gueret is currently employed at Accenture Global Solutions Limited, where he applies his expertise in developing advanced systems for decision-making. His work has been instrumental in pushing the boundaries of what is possible with knowledge graphs and intelligent systems.

Collaborations

Gueret collaborates with talented individuals such as Luca Costabello and Rory McGrath, contributing to a dynamic and innovative work environment.

Conclusion

Christophe Gueret's contributions to the field of intelligent systems and knowledge graphs are noteworthy. His innovative patents reflect a commitment to enhancing decision-making processes through technology. His work continues to influence the landscape of intelligent systems and knowledge graph applications.