Naïl B. Khelifa

Error Propagation and Model Collapse in Diffusion Models: A Theoretical Study

Machine learning models are increasingly trained or fine-tuned on synthetic data. Recursively training on such data has been observed to significantly degrade performance in a wide range of tasks, often characterized by a progressive drift away from the target distribution. In this work, we theoreti…