Pim De Haan

Title: Pim De Haan: Innovator in Geometric Graph Convolutional Neural Networks

Introduction

Pim De Haan is a notable inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of machine learning, particularly in the development of advanced neural network architectures. With a total of 2 patents, his work focuses on innovative methods for processing data in complex geometrical structures.

Latest Patents

Pim De Haan's latest patents include the "Gauge Equivariant Geometric Graph Convolutional Neural Network." This patent outlines a method for performing machine learning by determining a plurality of vertices in a neighborhood associated with a mesh, applying linear transformations, and utilizing gauge equivariant convolution filters. Another significant patent is the "Icospherical Gauge Convolutional Neural Network," which describes a method for generating convolutional neural networks that operate on spherical manifolds. This method involves generating locally-defined gauges and defining convolutions at multiple positions on the spherical manifold.

Career Highlights

Throughout his career, Pim De Haan has worked with prominent companies such as Qualcomm Incorporated and Qualcomm Technologies, Inc. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technology in the field of machine learning.

Collaborations

Pim has collaborated with talented individuals in his field, including Taco Sebastiaan Cohen and Berkay Kicanaoglu. These collaborations have further enriched his work and expanded the impact of his innovations.

Conclusion

Pim De Haan is a distinguished inventor whose work in geometric graph convolutional neural networks is paving the way for advancements in machine learning. His innovative patents and collaborations highlight his commitment to pushing the boundaries of technology.