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For the Inventor, By the Inventor

Dublin, Ireland

Mathieu Sinn

USPTO Granted Patents = 36 

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 35(Granted Patents)


Company Filing History:

goldMedal31 out of 164,108 
 
International Business Machines Corporation
 patents
silverMedal4 out of 83 
 
Utopus Insights, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2015-2025

where 'Filed Patents' based on already Granted Patents

36 patents (USPTO):
1. 12242613 - Automated evaluation of machine learning models (2025-03-04),
2. 12182263 - Defending deep generative models against adversarial attacks (2024-12-31),
3. 12169776 - Superresolution and consistency constraints to scale up deep learning models (2024-12-17),
4. 12136821 - Real-time estimation of contributions from classes of energy generators in residual load signals (2024-11-05),
5. 12124961 - System for continuous update of advection-diffusion models with adversarial networks (2024-10-22),
6. 12118119 - Federated private adversarial training (2024-10-15),
7. 11847546 - Automatic data preprocessing (2023-12-19),
8. 11681796 - Learning input preprocessing to harden machine learning models (2023-06-20),
9. 11645311 - Automatic feature extraction from a relational database (2023-05-09),
10. 11631978 - Real-time estimation of contributions from classes of energy generators in residual load signals (2023-04-18),
11. 11569985 - Preserving inter-party data privacy in global data relationships (2023-01-31),
12. 11568249 - Automated decision making for neural architecture search (2023-01-31),
13. 11562139 - Text data protection against automated analysis (2023-01-24),
14. 11386128 - Automatic feature learning from a relational database for predictive modelling (2022-07-12),
15. 11334671 - Adding adversarial robustness to trained machine learning models (2022-05-17),

Title: The Innovative Mind of Mathieu Sinn: A Dive into Patents and Contributions

Introduction: Mathieu Sinn, based in Dublin, Ireland, is a prolific inventor with a remarkable portfolio of 35 patents. His work has significantly advanced various fields, particularly in the realm of deep learning and artificial intelligence. This article explores his latest patents, career highlights, and collaborations that showcase his innovative spirit.

Latest Patents: Among Mathieu Sinn's noteworthy contributions are his recent patents that address crucial challenges in deep learning. One such patent focuses on "Defending Deep Generative Models Against Adversarial Attacks," providing methods for detecting and sanitizing adversarial attacks on these models. Through the application of various detection operations, his work enhances the resilience of deep generative models against potential threats. Another significant patent, "Superresolution and Consistency Constraints to Scale Up Deep Learning Models," outlines techniques that facilitate deep learning model rescaling. This invention showcases a system involving a processor that executes components for rescaling and forecasting, allowing for improved predictive data output at higher resolution.

Career Highlights: Mathieu Sinn's career includes impactful stints at leading organizations such as IBM and Utopus Insights, Inc. His experiences at these companies have likely contributed to his extensive knowledge and expertise in machine learning and innovative model development.

Collaborations: Throughout his career, Mathieu has collaborated with notable individuals including Bei Chen and Ngoc Minh Tran. Teamwork in cutting-edge research environments has fostered innovative solutions to complex problems in the technology sector.

Conclusion: Mathieu Sinn stands out as a significant contributor to the field of technology through his numerous patents and collaborations. His innovations not only address current challenges but also pave the way for future advancements in deep learning and artificial intelligence. As he continues to push the boundaries of what is possible, Mathieu Sinn remains an inspiring figure in the world of invention and innovation.

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