Learning to structure the world
This project aims not only to learn representations, but also to develop generative models that use learning‑to‑structure to improve efficiency, generalisation, and the ability to express and estimate uncertainty.
One Step Generation
This two-stage training process, whilst pragmatic, raises some deep questions: why can't we train a one-step generator directly, without needing to first train a diffusion model?
