San Carlos, CA, United States of America

Pedro L Larroy

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Pedro L. Larroy: Innovator in Machine Learning Explanations

Introduction

Pedro L. Larroy is an accomplished inventor based in San Carlos, California. He has made significant contributions to the field of machine learning, particularly in the area of providing explanations for model predictions. His innovative approach enhances the interpretability of machine learning models, making them more accessible and understandable.

Latest Patents

Pedro holds a patent titled "Global explanations of machine learning model predictions for input containing text attributes." This patent outlines a method for generating explanatory data sets for predictions made by machine learning models that utilize text tokens. The process involves identifying groups of related tokens from text attributes, generating record-level prediction influence scores, and presenting an aggregate prediction influence score for these token groups. This work is crucial for improving the transparency of machine learning systems.

Career Highlights

Pedro L. Larroy is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of machine learning research. His work at Amazon has allowed him to collaborate with leading experts in the field and contribute to cutting-edge projects that leverage artificial intelligence.

Collaborations

Some of Pedro's notable coworkers include Cedric Philippe Archambeau and Sanjiv Ranjan Das. Their collective expertise fosters an environment of innovation and collaboration, driving advancements in machine learning technologies.

Conclusion

Pedro L. Larroy is a prominent figure in the realm of machine learning, with a focus on enhancing model interpretability through his patented innovations. His contributions are paving the way for more transparent and understandable artificial intelligence systems.

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