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For the Inventor, By the Inventor

Weil der Stadt, Germany

Andres Mauricio Munoz Delgado

USPTO Granted Patents = 12 

 

Average Co-Inventor Count = 1.1

ph-index = 1


Company Filing History:

goldMedal12 out of 29,302 
 
Robert Boschgmbh
 patents

Years Active: 2022-2025

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12 patents (USPTO):Explore Patents
1. 12469283 - Generation of semantically modified variations of images with transformer networks (2025-11-11),
2. 12469271 - Training neural networks with a lesser requirement for labelled training data (2025-11-11),
3. 12456034 - Image classification explanation by generating boundary crossing examples with removed features via filter suppression (2025-10-28),
4. 12450488 - Measurement of the sensitivity of classifiers based on interacting faults (2025-10-21),
5. 12288388 - System and method to alter an image (2025-04-29),
6. 12242957 - Device and method for the generation of synthetic data in generative networks (2025-03-04),
7. 12148135 - Determination of the decision-relevant image components for an image classifier using binary masks (2024-11-19),
8. 12046024 - Determination of the decision-relevant image components for an image classifier by targeted modification in the latent space (2024-07-23),
9. 11810341 - Method of identifying filters in a neural network, system and storage medium of the same (2023-11-07),
10. 11790639 - Measuring the sensitivity of image classifiers to modifications of the input image (2023-10-17),
11. 11366987 - Method for determining explainability mask by neural network, system and medium (2022-06-21),
12. 11314989 - Training a generative model and a discriminative model (2022-04-26),

Title: Innovations of Andres Mauricio Munoz Delgado

Introduction

Andres Mauricio Munoz Delgado is a prominent inventor based in Weil der Stadt, Germany. He has made significant contributions to the field of technology, particularly in image processing and neural networks. With a total of 12 patents to his name, his work continues to influence advancements in these areas.

Latest Patents

One of his latest patents is titled "Generation of semantically modified variations of images with transformer networks." This method involves dividing an image into equally sized, non-overlapping patches and converting them into a chain of tokens using a transformer network. The process includes grouping tokens into preservation and masked tokens, ultimately generating a semantically modified variation of the original image. Another notable patent is "Training neural networks with a lesser requirement for labelled training data." This method focuses on training a neural network to determine task outputs using both labeled and unlabeled data, ensuring that the outputs correspond to ground truth.

Career Highlights

Andres works at Robert Bosch GmbH, a leading global supplier of technology and services. His role at the company allows him to apply his innovative ideas and contribute to cutting-edge projects. His expertise in neural networks and image processing has positioned him as a valuable asset in his field.

Collaborations

Andres collaborates with Chaithanya Kumar Mummadi, working together on various projects that leverage their combined expertise in technology and innovation.

Conclusion

Andres Mauricio Munoz Delgado's contributions to technology through his patents and work at Robert Bosch GmbH highlight his role as a leading inventor in the field. His innovative methods in image processing and neural networks continue to pave the way for future advancements.

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