Generative AI Meets Control and Optimization

This workshop brings together researchers from control, optimization, and machine learning to explore how system-theoretic and optimization-based perspectives can advance the understanding and design of generative models, including diffusion models and large language models. We are particularly interested in approaches that enable efficient and reliable training and inference, as well as provide insights into stability and convergence properties of generative systems.