Malika Boulkenafed

Title: Malika Boulkenafed: Innovator in 3D Object Generation

Introduction

Malika Boulkenafed is a prominent inventor based in Vélizy-Villacoublay, France. She has made significant contributions to the field of machine learning, particularly in the generation of 3D objects. Her innovative approach has led to the development of a unique patent that enhances the capabilities of 3D modeling.

Latest Patents

Malika holds a patent for a "Canonicalized codebook for 3D object generation." This computer-implemented method of machine learning involves obtaining a training dataset of 3D models of real-world objects. The method includes learning from this dataset and a patch-decomposition of the 3D models to create a finite codebook of quantized vectors and a neural network. The neural network features a rotation-invariant encoder designed for encoding patches of 3D models into quantized latent vectors. Additionally, it includes a decoder that transforms sequences of these vectors back into 3D models. This innovative solution significantly improves the process of 3D model generation.

Career Highlights

Throughout her career, Malika has worked with esteemed organizations such as Dassault Systèmes and École Polytechnique. Her experience in these institutions has allowed her to refine her skills and contribute to groundbreaking projects in the field of technology and engineering.

Collaborations

Malika has collaborated with talented individuals, including Mariem Mezghanni and Kawtar Zaher. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Malika Boulkenafed is a trailblazer in the realm of 3D object generation, with her patent showcasing her expertise in machine learning. Her contributions to the field are invaluable, and her work continues to inspire future innovations.