2025
On Inductive Biases That Enable Generalization in Diffusion Transformers
NeurIPS 2025poster
Recent work studying the generalization of diffusion models with locally linear UNet-based denoisers reveals inductive biases that can be expressed via geometry-adaptive harmonic bases. For such locally linear UNets, these geometry-adaptive harmonic bases can be conveniently visualized through the e…