Ferenc Huszar

This inventor holds 10 USPTO granted patents and 2 published patent applications and 3 EPO patents. Top assignees: Magic Pony Technology Limited, Twitter, Inc.. Active years: 2020-2022.

USPTO Granted Patents = 10 (Patent Applications = 2)

% Patents Active = 30.0

EPO Patents = 3 (Patent Applications = 4)

Average Co-Inventor Count = 3.1

ph-index = 4

Forward Citations = 118(Granted Patents)

Location History:

London, GB (2020 - 2022)
Cambridge, GB (2020 - 2022)

Company Filing History:

5 out of 20

Magic Pony Technology Limited

Years Active: 2020-2022

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10 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11537869 - Difference metric for machine learning-based processing systems (2022-12-27),

2. 11410076 - Decentralized multi-task machine learned parameters (2022-08-09),

3. 11234006 - Training end-to-end video processes (2022-01-25),

4. 11024009 - Super resolution using a generative adversarial network (2021-06-01),

5. 10701394 - Real-time video super-resolution with spatio-temporal networks and motion compensation (2020-06-30),

6. 10692185 - Generative methods of super resolution (2020-06-23),

7. 10685264 - Visual data processing using energy networks (2020-06-16),

8. 10681361 - Training end-to-end video processes (2020-06-09),

9. 10666962 - Training end-to-end video processes (2020-05-26),

10. 10623775 - End-to-end video and image compression (2020-04-14),

Title: Ferenc Huszar: Innovator in Machine Learning Technologies

Introduction

Ferenc Huszar is a prominent inventor based in London, GB, known for his significant contributions to machine learning technologies. With a total of 10 patents to his name, he has made remarkable advancements in the field, particularly in developing systems and methods that enhance machine learning-based processing systems.

Latest Patents

Huszar's latest patents include a "Difference metric for machine learning-based processing systems." This innovation provides a learned difference metric that operates in a wide artifact space. The method involves initializing a committee of deep neural networks with labeled distortion pairs and iteratively learning a difference metric using psychophysics tasks for informative distortion pairs. Another notable patent is "Decentralized multi-task machine learned parameters," which outlines a method for generating a quadratic penalty based on various parameters and training tasks to optimize machine learning processes.

Career Highlights

Throughout his career, Ferenc Huszar has worked with notable companies such as Twitter, Inc. and Magic Pony Technology Limited. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technologies in the machine learning domain.

Collaborations

Huszar has collaborated with talented individuals in the field, including Zehan Wang and Lucas Theis. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Ferenc Huszar's work in machine learning has positioned him as a leading inventor in the industry. His innovative patents and collaborations reflect his commitment to advancing technology and improving processing systems.