Berlin, Germany

Lukas Stefan Balles

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Lukas Stefan Balles

Introduction

Lukas Stefan Balles is an accomplished inventor based in Berlin, Germany. He has made significant contributions to the field of machine learning and data analysis. His innovative work focuses on concept shift detection and correction, which is crucial for maintaining the accuracy of predictive models.

Latest Patents

Lukas holds a patent for a groundbreaking technique titled "Concept shift detection and correction using probabilistic models and learned feature representations." This patent describes methods for detecting and correcting concept shifts by utilizing probabilistic models. A Gaussian process model is trained using representations generated by a primary machine learning model for existing training data elements. For new data batches, these representations can be used as input for the Gaussian process model to generate predictive distributions. If the true targets for new data elements are unlikely according to the predictive distributions, it indicates a potential concept shift. Consequently, the training memory can be purged of existing data elements before further retraining of the primary machine learning model. Lukas has 1 patent to his name.

Career Highlights

Lukas is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and data analysis. His work at Amazon has allowed him to explore innovative solutions to complex problems in technology and data science.

Collaborations

Lukas collaborates with talented individuals such as Giovanni Zappella and Cedric Philippe Archambeau. Their combined expertise fosters a creative environment that drives innovation and enhances the development of new technologies.

Conclusion

Lukas Stefan Balles is a notable inventor whose work in concept shift detection and correction has the potential to significantly impact the field of machine learning. His contributions at Amazon Technologies, Inc. and his collaborations with other experts highlight his commitment to advancing technology.

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