Bachelor's Degree Project Presentation: Martingale Matching

Abstract: Diffusion models aim to learn data from noise, thus enabling the generation of new data. We provide a new method for learning to transport the noise distribution to the data distribution, where we enforce a martingale to find a new loss function. We present some background theory on stochastic differential equations and diffusion models, before presenting our novel algorithm and results.