Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

30 June 2023

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

50 / 59 papers shown

Title
Guide your favorite protein sequence generative model Junhao Xiong Hunter Nisonoff Ishan Gaur Jennifer Listgarten DiffM 56 0 0 07 May 2025
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Jaihoon Kim Taehoon Yoon Jisung Hwang Minhyuk Sung DiffM 54 1 0 25 Mar 2025
SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering Byeongjun Park Hyojun Go Hyelin Nam Byung-Hoon Kim Hyungjin Chung Changick Kim VGen LLMSV 49 1 0 15 Mar 2025
Dynamic Search for Inference-Time Alignment in Diffusion Models Xiner Li Masatoshi Uehara Xingyu Su Gabriele Scalia Tommaso Biancalani Aviv Regev Sergey Levine Shuiwang Ji 47 0 0 03 Mar 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 54 1 0 20 Feb 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Aviv Regev Shuiwang Ji Sergey Levine Tommaso Biancalani 58 1 0 20 Feb 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Robust Optimization with Diffusion Models for Green Security Lingkai Kong Haichuan Wang Yuqi Pan Cheol Woo Kim Mingxiao Song Alayna Nguyen Tonghan Wang Haifeng Xu Milind Tambe 42 0 0 19 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo Filip Ekstrom Kelvinius Zheng Zhao Fredrik Lindsten DiffM 52 0 0 10 Feb 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Grigory Bartosh Dmitry Vetrov C. A. Naesseth 78 0 0 04 Feb 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Oussama Zekri Nicolas Boullé DiffM 68 3 0 03 Feb 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai Jiahui Geng Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 120 3 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 66 15 0 17 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 64 0 0 03 Jan 2025
Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Julian L. Möbius Michael Habeck DiffM 88 0 0 19 Dec 2024
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang 123 2 0 10 Dec 2024
On Diffusion Posterior Sampling via Sequential Monte Carlo for Zero-Shot Scaffolding of Protein Motifs James Matthew Young O. Deniz Akyildiz DiffM 88 1 0 08 Dec 2024
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules Binxu Wang Jiaqi Shang Haim Sompolinsky DiffM 44 1 0 12 Nov 2024
Flow Matching for Posterior Inference with Simulator Feedback Benjamin Holzschuh Nils Thuerey 35 0 0 29 Oct 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 53 9 0 17 Oct 2024
Simultaneous Diffusion Sampling for Conditional LiDAR Generation Ryan Faulkner Luke Haub Simon Ratcliffe Anh-Dzung Doan Ian Reid Tat-Jun Chin 33 0 0 15 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 164 0 0 15 Oct 2024
Variational Diffusion Posterior Sampling with Midpoint Guidance Badr Moufad Yazid Janati Lisa Bedin Alain Durmus Randal Douc Eric Moulines Jimmy Olsson DiffM 35 1 0 13 Oct 2024
Adaptive Constraint Integration for Simultaneously Optimizing Crystal Structures with Multiple Targeted Properties Akihiro Fujii Yoshitaka Ushiku Koji Shimizu Anh Khoa Augustin Lu S. Watanabe 33 0 0 11 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance Yuchen Shen Chenhao Zhang Sijie Fu Chenghui Zhou Newell Washburn Barnabás Póczos 55 0 0 09 Oct 2024
Online Posterior Sampling with a Diffusion Prior B. Kveton Boris Oreshkin Youngsuk Park Aniket Deshmukh Rui Song DiffM 40 0 0 04 Oct 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 49 39 0 30 Sep 2024
ProteinBench: A Holistic Evaluation of Protein Foundation Models Fei Ye Zaixiang Zheng Dongyu Xue Yuning Shen Lihao Wang Yiming Ma Yan Wang Qing Guo Xiangxin Zhou Quanquan Gu ELM 48 6 0 10 Sep 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding Xiner Li Yulai Zhao Chenyu Wang Gabriele Scalia Gökçen Eraslan Surag Nair Tommaso Biancalani Aviv Regev Sergey Levine Masatoshi Uehara 60 23 0 15 Aug 2024
Posterior Sampling with Denoising Oracles via Tilted Transport Joan Bruna Jiequn Han DiffM MedIm 38 4 0 30 Jun 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 Mathis Kieran Didi Bryan Hooi Pietro Liò Pietro Liò 58 3 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 60 3 0 17 Jun 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine Bouman DiffM 34 21 0 29 May 2024
Alignment is Key for Applying Diffusion Models to Retrosynthesis Najwa Laabid Severi Rissanen Markus Heinonen Arno Solin Vikas K. Garg DiffM 31 1 0 27 May 2024
Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2 Yeqing Lin Minji Lee Zhao Zhang Mohammed AlQuraishi DiffM 48 17 0 24 May 2024
Learning Diffusion Priors from Observations by Expectation Maximization François Rozet Gérome Andry F. Lanusse Gilles Louppe DiffM 45 15 0 22 May 2024
Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos Zheng Zhao Simo Särkkä Jens Sjölund Thomas B. Schon DiffM 58 5 0 22 May 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu Yuejie Chi DiffM 42 20 0 25 Mar 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati Alain Durmus Eric Moulines Jimmy Olsson DiffM 46 7 0 18 Mar 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi Ma Carla P. Gomes Chao Zhang 29 10 0 28 Feb 2024
Diffusion Posterior Sampling is Computationally Intractable Shivam Gupta A. Jalal Aditya Parulekar Eric Price Zhiyang Xun 33 9 0 20 Feb 2024
Particle Denoising Diffusion Sampler Angus Phillips Hai-Dang Dau M. Hutchinson Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 62 25 0 09 Feb 2024
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers Tongda Xu Ziran Zhu Jian Li Dailan He Yuanyuan Wang ... Ning Li Hongwei Qin Yan Wang Jingjing Liu Ya Zhang DiffM 30 4 0 09 Feb 2024
Robust Inverse Graphics via Probabilistic Inference Tuan Anh Le Pavel Sountsov Matthew D. Hoffman Ben Lee Brian Patton Rif A. Saurous 35 0 0 02 Feb 2024
Improved motif-scaffolding with SE(3) flow matching Jason Yim Andrew Campbell Emile Mathieu Andrew Y. K. Foong Michael Gastegger ... Victor Garcia Satorras Bastiaan S. Veeling Frank Noé Regina Barzilay Tommi Jaakkola 21 33 0 08 Jan 2024
Bayesian ECG reconstruction using denoising diffusion generative models Gabriel Victorino Cardoso Lisa Bedin J. Duchâteau Rémi Dubois Eric Moulines DiffM 42 2 0 18 Dec 2023
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design Kieran Didi Francisco Vargas Simon Mathis Vincent Dutordoir Emile Mathieu Urszula Julia Komorowska Pietro Lio DiffM 34 14 0 14 Dec 2023
Correcting Diffusion Generation through Resampling Yujian Liu Yang Zhang Tommi Jaakkola Shiyu Chang 39 8 0 10 Dec 2023
Discriminator Guidance for Autoregressive Diffusion Models Filip Ekstrom Kelvinius Fredrik Lindsten DiffM 19 5 0 24 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 24 7 0 12 Oct 2023