Los Angeles, CA, United States of America

Mark Frederick Eberstein



Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Los Angeles, CA (US) (2021 - 2023)
  • Burbank, CA (US) (2024)

Company Filing History:


Years Active: 2021-2024

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5 patents (USPTO):Explore Patents

Title: Innovations by Mark Frederick Eberstein

Introduction

Mark Frederick Eberstein is a prominent inventor based in Los Angeles, CA, recognized for his contributions to the field of machine learning and model fairness. With a total of five patents to his name, Eberstein is committed to advancing technology that improves the fairness and understanding of machine learning models.

Latest Patents

Eberstein’s latest patents include innovative systems and methods aimed at enhancing model fairness. One significant patent focuses on training models to improve fairness, ensuring that diverse populations are represented in the outputs generated by machine learning systems. Another critical patent deals with the decomposition of both differentiable and non-differentiable models, providing methods and non-transitory computer-readable media for evaluating model performances. This work enables a better understanding of how features contribute to outputs, particularly for protected class populations.

Career Highlights

Currently, Eberstein works at ZestFinance, Inc., a company dedicated to harnessing machine learning in finance. His role involves developing advanced methodologies that promote ethical decision-making in automated systems. Through his inventions, he aims to ensure that technology remains inclusive and fair.

Collaborations

Throughout his career, Eberstein has collaborated with talented individuals such as Sean Javad Kamkar and Jose Efrain Valentin. Together, they work on projects that enhance the transparency and accountability of machine learning algorithms, fostering a more equitable technological landscape.

Conclusion

Mark Frederick Eberstein's contributions as an inventor play a crucial role in shaping the future of machine learning. His focus on fairness and model transparency not only advances technical innovation but also emphasizes the importance of ethics in technology. As he continues to collaborate and innovate, Eberstein is set to make a lasting impact in his field.

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