Raphaël Razafindralambo

Jeffrey guidance can significantly improve diffusion model outputs while ensuring fairness across attributes, challenging the limitations of standard sampling techniques.

Linear and geometric pooling aren't just common ensemble methods, they're theoretically optimal for consistent gains, while other aggregation rules can actively hurt performance.