This hybrid workshop will introduce the UCLA research community to the emerging class of Time Series Foundation Models (TSFMs) and their application to sustainability challenges such as electricity grid carbon...

This workshop will introduce researchers to cutting-edge machine learning (ML) methods that are transforming computational chemistry and materials science. Participants will learn how ML models can accelerate atomistic simulations, bridging...

This workshop will explore how artificial intelligence is used to reconstruct biomedical microscopy data, emphasizing both the opportunities and the risks of these approaches. While AI has enabled remarkable advances...

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...

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...