Yorktown Heights, NY, United States of America

Jarret Ross


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: The Innovations of Jarret Ross in Barycenter Modeling

Introduction

Jarret Ross, an inventive mind based in Yorktown Heights, NY, has made a significant contribution to the field of model ensembling with his innovative patent. Working with the prestigious International Business Machines Corporation (IBM), Ross focuses on advancing technology that enhances predictive modeling techniques.

Latest Patents

Jarret Ross holds one patent titled "Wasserstein Barycenter Model Ensembling." This patent encompasses a method, system, and apparatus for ensembling, specifically involving the input of a set of models that predict various sets of attributes. The process includes determining a source set of attributes and a target set of attributes through the barycenter with an optimal transport metric. Furthermore, it culminates in finding a consensus among models defined on the source set of attributes. This groundbreaking work enhances the accuracy and efficacy of predictive analytics.

Career Highlights

Throughout his career at IBM, Ross has demonstrated expertise in machine learning and predictive modeling. His ability to harness complex mathematical concepts, such as the barycenter and optimal transport metrics, showcases his innovative approach to improving existing technologies. His work contributes significantly to advancements in data science and artificial intelligence.

Collaborations

Jarret Ross collaborates with notable professionals, including Youssef Mroueh and Pierre L Dognin. Working alongside these talented individuals, he has been able to refine his techniques and expand the scope of his research, contributing to the success of various projects at IBM.

Conclusion

In summary, Jarret Ross stands out as a prominent inventor with his patent transforming how models predict attributes in data sets. His contributions at IBM and collaboration with his coworkers highlight the remarkable potential of innovations in machine learning. As technology continues to evolve, Ross's work serves as a foundation for future advancements in predictive analytics.

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