Model Order Reduction and Machine Learning Latent Spaces: Overlaps, Differences, and Synergies
In the realms of computational science, engineering, and data-driven modeling, two powerful paradigms have emerged to tackle the challenges of high-dimensional dynamical systems: Model Order Reduction (MOR) and machine learning (ML) methods involving latent spaces. MOR, rooted in applied mathematics...