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Tag: diffusion-models (1 references)

Influence Functions for Scalable Data Attribution in Diffusion Models 2024 article

Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger, Richard Turner

Develops influence function frameworks for diffusion models to address data attribution and interpretability challenges. Predicts how model output would change if training data were removed, showing how previously proposed methods can be interpreted as particular design choices in this framework.