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For the Inventor, By the Inventor

Stuttgart, Germany

Anna Khoreva

USPTO Granted Patents = 14 

 

Average Co-Inventor Count = 2.9

ph-index = 1


Company Filing History:

goldMedal13 out of 29,302 
 
Robert Boschgmbh
 patents
where one patent can have more than one assignee

Years Active: 2023-2025

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14 patents (USPTO):Explore Patents
1. 12475364 - Device and computer implemented method for training an artificial neural network using channel groups (2025-11-18),
2. 12462526 - Training method for a generator for generating realistic images (2025-11-04),
3. 12437515 - Device and method for generating training data for a machine learning system (2025-10-07),
4. 12437382 - Device and computer-implemented method for evaluating a control of a generator for determining pixels of a synthetic image (2025-10-07),
5. 12430550 - Training method for a generator neural network imposing data equivariances (2025-09-30),
6. 12354343 - Generative adversarial network for classifying an image by masking and globally pooling a feature map (2025-07-08),
7. 12272123 - Training a generator for generating realistic images using a semantically segmenting discriminator (2025-04-08),
8. 12266161 - Device and method for training a machine learning system for generating images (2025-04-01),
9. 12248878 - Device and method for training a neuronal network (2025-03-11),
10. 12072439 - Synthetic generation of radar, LIDAR and ultrasound measurement data (2024-08-27),
11. 12050990 - Device and method for training an augmented discriminator (2024-07-30),
12. 11961275 - Device and method for training a normalizing flow (2024-04-16),
13. 11804034 - Training a function to respond predictably to differences (2023-10-31),
14. 11775818 - Training system for training a generator neural network (2023-10-03),

Title: Anna Khoreva: Innovator in Artificial Neural Networks

Introduction

Anna Khoreva is a prominent inventor based in Stuttgart, Germany. She has made significant contributions to the field of artificial intelligence, particularly in the development of methods for training artificial neural networks. With a total of 14 patents to her name, Anna is recognized for her innovative approaches and technical expertise.

Latest Patents

Among her latest patents is a device and computer-implemented method for training an artificial neural network using channel groups. This invention includes providing a neural network layer for an equivariant feature mapping with multiple output channels. It involves grouping these channels into distinct groups, organizing them into grids, and applying unique normalization functions based on their spatial locations. Another notable patent is a training method for a generator that creates realistic images from semantic maps. This method generates mixed images that combine generated and actual training images, allowing a discriminator to distinguish between them effectively.

Career Highlights

Anna Khoreva works at Robert Bosch GmbH, where she applies her expertise in artificial intelligence and neural networks. Her work has been instrumental in advancing the capabilities of machine learning technologies.

Collaborations

Some of her notable coworkers include Dan Zhang and Thomas Andy Keller, who collaborate with her on various projects within the company.

Conclusion

Anna Khoreva's contributions to artificial intelligence and neural networks highlight her role as a leading innovator in the field. Her patents and work at Robert Bosch GmbH continue to influence advancements in technology.

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