Toronto, Canada

Marcus Anthony Brubaker

USPTO Granted Patents = 9 

 

 

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Toronto, CA (2017 - 2022)
  • Montreal, CA (2023)

Company Filing History:


Years Active: 2017-2025

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9 patents (USPTO):Explore Patents

Title: The Innovations of Marcus Anthony Brubaker

Introduction

Marcus Anthony Brubaker is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of technology, particularly in noise modeling and machine learning. With a total of nine patents to his name, Brubaker's work has advanced the understanding and application of complex systems.

Latest Patents

Brubaker's latest patents include a "System and method for training of noise model using noisy signal pairs." This innovative approach iteratively trains a noise model to simulate the introduction of noise by a capture device. By utilizing a denoiser and a training data set of pairs of noisy signals, the method avoids the complexities of obtaining 'clean' signals. Another significant patent is for "Systems and methods for modeling continuous stochastic processes with dynamic normalizing flows." This invention focuses on a machine learning architecture designed for time series data prediction, enhancing the accuracy and efficiency of predictive modeling.

Career Highlights

Throughout his career, Brubaker has worked with various organizations, including the Royal Bank of Canada. His experience in these roles has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and data analysis.

Collaborations

Brubaker has collaborated with notable professionals in his field, including Ali Punjani and David James Fleet. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Marcus Anthony Brubaker's contributions to technology through his patents and collaborations highlight his role as a leading inventor. His work continues to influence the fields of noise modeling and machine learning, showcasing the importance of innovation in driving progress.

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