Normalizing Flows might not be the flashiest generative models, but their ability to provide exact, normalized densities makes them invaluable for tasks like variational inference. The new ‘Tensorizing Flows’ approach upgrades NFs with a powerful tensor-train base, making them far better at handling complex, high-dimensional, and multimodal distributions—especially in scientific and physics applications.