Accelerating Diffusion Models with Parallel Sampling: Inference at
Sub-Linear Time Complexity

Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity

24 May 2024

Grant M. Rotskoff

Papers citing "Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity"

17 / 17 papers shown

Title
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation Hengyuan Hu Aniket Das Dorsa Sadigh Nima Anari DiffM 17 0 0 06 May 2025
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 32 0 0 06 May 2025
Planning with Diffusion Models for Target-Oriented Dialogue Systems Hanwen Du B. Peng Xia Ning 15 0 0 23 Apr 2025
Improved Convergence Rate for Diffusion Probabilistic Models Gen Li Yuchen Jiao DiffM 23 6 0 17 Oct 2024
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren Haoxuan Chen Grant M. Rotskoff Lexing Ying 33 3 0 04 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis Zikun Zhang Zixiang Chen Quanquan Gu DiffM 37 3 0 03 Oct 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 20 21 0 05 Aug 2024
Learning Mixtures of Gaussians Using Diffusion Models Khashayar Gatmiry Jonathan A. Kelner Holden Lee 33 4 0 29 Apr 2024
Tutorial on Diffusion Models for Imaging and Vision Stanley H. Chan 31 9 0 26 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 51 29 0 06 Mar 2024
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design Andrew Campbell Jason Yim Regina Barzilay Tom Rainforth Tommi Jaakkola AI4CE 60 96 0 07 Feb 2024
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 240 260 0 15 Mar 2023
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 178 53 0 02 Nov 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 175 256 0 07 Jan 2021