From Generation to Discovery: Diffusion Mutation Kernels for Circuit and Physical Design
A diffusion-based discovery framework that learns transition operators that transform existing artifacts into new candidates, and defines a diffusion mutation kernel, a learned transition distribution that preserves the structural regularities of feasible designs while moving between regions of the design space.