Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

30 June 2023

Papers citing "Practical and Asymptotically Exact Conditional Sampling in Diffusion Models"

20 / 20 papers shown

Title
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 51 0 0 07 May 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
MotifBench: A standardized protein design benchmark for motif-scaffolding problems Zhuoqi Zheng Bo Zhang Kieran Didi Kevin K. Yang Jason Yim Joseph L. Watson Hai-Feng Chen Brian L. Trippe 43 1 0 20 Feb 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai X. Zhang Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 120 1 0 31 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models R. Singhal Zachary Horvitz Ryan Teehan Mengye Ren Zhou Yu Kathleen McKeown Rajesh Ranganath DiffM 61 15 0 17 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 51 0 0 03 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 118 2 0 10 Dec 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design Chenyu Wang Masatoshi Uehara Yichun He Amy Wang Tommaso Biancalani Avantika Lal Tommi Jaakkola Sergey Levine Hanchen Wang Aviv Regev 48 8 0 17 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 84 0 0 15 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 48 0 0 09 Oct 2024
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design Rishabh Anand Chaitanya K. Joshi Alex Morehead Arian R. Jamasb Charles Harris Simon V. Mathis Kieran Didi Bryan Hooi Pietro Liò Pietro Liò 50 2 0 19 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning Yulai Zhao Masatoshi Uehara Gabriele Scalia Tommaso Biancalani Sergey Levine Ehsan Hajiramezanali Ehsan Hajiramezanali AI4CE 52 3 0 17 Jun 2024
Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos Zheng Zhao Simo Särkkä Jens Sjölund Thomas B. Schon DiffM 48 5 0 22 May 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati Alain Durmus Eric Moulines Jimmy Olsson DiffM 38 7 0 18 Mar 2024
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design Kieran Didi Francisco Vargas Simon V. Mathis Vincent Dutordoir Emile Mathieu U. J. Komorowska Pietro Lió DiffM 32 13 0 14 Dec 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models Guanhua Zhang Jiabao Ji Yang Zhang Mo Yu Tommi Jaakkola Shiyu Chang DiffM 38 60 0 06 Apr 2023
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 217 164 0 06 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 777 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 213 1,353 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,586 0 10 Nov 2021