Madrid, Spain

Edgar Talavera Muñoz

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Edgar Talavera Muñoz: Innovator in Generative Adversarial Networks

Introduction

Edgar Talavera Muñoz is a prominent inventor based in Madrid, Spain. He has made significant contributions to the field of artificial intelligence, particularly in the area of generative adversarial networks (GANs). His innovative approach to modeling synthetic data has garnered attention in the tech community.

Latest Patents

Edgar holds a patent for a method titled "Method for modelling synthetic data in generative adversarial networks." This method involves a generator agent (G) that generates synthetic data and a discriminator agent (D) that distinguishes between the generated synthetic data and real original data. The method computes an Inverse Smirnov transformation for each input variable and attaches an activation function to the generator agent. This allows the GAN to generate output synthetic data that maintains the same distribution shape as the original data. Edgar has 1 patent to his name.

Career Highlights

Edgar is currently employed at Telefónica, S.A., a leading telecommunications company. His work focuses on advancing technologies that leverage artificial intelligence and machine learning. His expertise in GANs positions him as a valuable asset in the tech industry.

Collaborations

Edgar has collaborated with notable colleagues, including Alberto Mozo Velasco and Sandra Gómez Canaval. These partnerships have contributed to the development of innovative solutions in the field of artificial intelligence.

Conclusion

Edgar Talavera Muñoz is a key figure in the advancement of generative adversarial networks, with a focus on modeling synthetic data. His contributions to the field are paving the way for future innovations in artificial intelligence.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…