Events

This workshop will introduce the UCLA research community to the application of diffusion models for medical imaging problems, with a focus on MRI. Participants will learn both the fundamentals of diffusion and how it can be adapted to physics-constrained scenarios, such as k-space undersampling in MRI. Target Audience: Graduate students, postdocs, and faculty in computational...

This workshop introduces core methods for generating high-quality meshes used in large-scale simulation, scientific computing, and computer graphics. We will explore how Voronoi tessellation and Delaunay triangulation form the foundation of modern meshing algorithms, how parallel computing enables scalable geometry processing, and how emerging learning-based approaches can learn to generate meshes directly from data. The...