Christos Louizos

Title: Christos Louizos: Innovator in Machine Learning and Quantization Techniques

Introduction

Christos Louizos is a prominent inventor based in Utrecht, Netherlands. He has made significant contributions to the fields of machine learning and quantization techniques. With a total of 4 patents, Louizos has developed innovative methods that enhance the efficiency and effectiveness of machine learning systems.

Latest Patents

Louizos's latest patents include groundbreaking work on Bayesian bits joint mixed-precision quantization and structured pruning using decomposed quantization and Bayesian gates. These embodiments involve methods and devices for joint mixed-precision quantization and structured pruning. The process includes determining whether a plurality of gates of quantization and pruning gates are selected for combination. In response to this determination, the method iteratively quantizes a residual error of a quantized tensor to a scale of a next bit-width, producing a residual error quantized tensor. This tensor is then combined with the quantized tensor to produce a next quantized tensor, which is used for successive iterations. Another notable patent involves a machine learning system designed to generate output using first and second latent spaces. This system maps an input data instance to an output according to a system mapping composed of multiple functions.

Career Highlights

Throughout his career, Louizos has worked with leading companies in the technology sector, including Qualcomm Incorporated and Robert Bosch GmbH. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in machine learning and quantization.

Collaborations

Louizos has collaborated with notable professionals in his field, including Tijmen Pieter Frederik Blankevoort and Matthias Reisser. These collaborations have further enriched his work and expanded the impact of his innovations.

Conclusion

Christos Louizos is a distinguished inventor whose work in machine learning and quantization techniques has paved the way for advancements in the field. His innovative patents and collaborations reflect his commitment to pushing the boundaries of technology.