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cs.DS2025
Parallel Sampling via Autospeculation
Nima Anari, Carlo Baronio, CJ Chen +4
We present parallel algorithms to accelerate sampling via counting in two settings: any-order autoregressive models and denoising diffusion models. An any-order autoregressive mode…
cs.LG2025
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation
Hengyuan Hu, Aniket Das, Dorsa Sadigh +1
Denoising Diffusion Probabilistic Models (DDPMs) have emerged as powerful tools for generative modeling. However, their sequential computation requirements lead to significant infe…