Diffusion Sampling

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18 papers in the last four weeks, up 500% on the four weeks before. 0.2% of all new papers.

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  1. Cross-Time Directional Selection in Diffusion Sampling

    Oct 4, 2026Dhia naoualiDiffusion Sampling

    Independent Researcher

  2. Best-of-NN Guidance for Test-time Diffusion Alignment

    Oct 4, 2026Richard Lee Kim, Yeongmin Kim, Gyuwon Sim +3Diffusion AlignmentDiffusion Sampling

    KAIST

  3. Error-Corrected Inference-Time Scaling for Imperfect Diffusion Models

    Oct 1, 2026Zuokai Wen, Louis Grenioux, Weinan E +1Diffusion SamplingMonte Carlo

    School of Artificial Intelligence, Shanghai Jiao Tong University · Center for Computational Mathematics, Flatiron Institute · School of Mathematical Sciences, Peking University

  4. Self-Repulsive Sampling for Diffusion Language Models

    Sep 30, 2026Michael Helcig, Martin JaggiDiffusion Language ModelsDiffusion Sampling

    ETH Zürich · EPFL

  5. Specificity-Aware Diffusion Steering via Variance-Reduced Sequential Monte Carlo

    Sep 30, 2026Luran Wang, Linrui Ma, Hannes Stärk +1Diffusion SamplingDiffusion Models

    CSAIL, Massachusetts Institute of Technology

  6. Simulator-Refined Diffusion for Radio-Frequency Inverse Design

    Sep 29, 2026Jinhao Liang, Jacob K. Christopher, Michael Frei +2Printed Circuit BoardGenerative Inverse Design

    University of Virginia · Arena Physica

  7. PreviewDiff: Multimodal Critic-Guided Search over Diffusion Latents

    Sep 28, 2026Vighnesh Subramaniam, Boris Katz, Brian Cheung +3Diffusion SamplingVideo Generation

    MIT CSAIL · Google Cloud AI Research · UCSF

  8. Unlocking Few-Step Diffusion for Faithful Previews

    Sep 28, 2026Jing Jia, Sifan Liu, Guanyang WangDiffusion SamplingDiffusion Models

    Department of Computer Science, Rutgers University · Department of Statistical Science, Duke University · Department of Statistics, Rutgers University

  9. DPS: Dual-Mode Precision LLM Serving with Semi-Unified Memory

    Sep 28, 2026Xuan Truong Nguyen, Tien Son Pham, Tuan Duc Chu +2Graphics Processing Unit MemoryKv-Cache Management

    Department of Next Generation Semiconductor Convergence and Open Sharing System (COSS), Seoul National University, Seoul 08826, South Korea · Van-Lang Institute of Semiconductor Technology (VIST), Hanoi, Vietnam · Efficient Computation Research Group, Moreh Vietnam +1

  10. GPARA: Graph-Posterior-Aligned Refinement and Active Acquisition for Grounding Diffusion Priors

    Sep 28, 2026Wangqian Chen, Hao Wang, Yumeng Zhang +3Diffusion PriorsDiffusion Sampling

    The Hong Kong University of Science and Technology · The Chinese University of Hong Kong, Shenzhen

  11. FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference

    Sep 24, 2026Gatien Séguy, Thomas RodetBayesian Inverse ProblemsDiffusion Models

    SATIE · SATIE Laboratory, ENS Paris-Saclay, CNRS, Universit´e Paris-Saclay, 91190 Gif-sur-Yvette, France

  12. Spectral Amplitude Purification in Distribution Matching for Diffusion Distillation

    Sep 24, 2026Zhenyu Zhou, Can Wang, Chun Chen +2Diffusion SamplingDistribution Matching Distillation

    Zhejiang University · University of California, Berkeley

  13. Parallelism, critical windows, and separations among diffusion language models

    Sep 17, 2026Sitan Chen, Liye WangDiffusion Language ModelsDiffusion Sampling

    SEAS, Harvard University · Tsinghua University

  14. Spatially Adaptive Noise Injection

    Sep 16, 2026Frantzeska Lavda, Maciej Falkiewicz, Van Khoa Nguyen +1Diffusion SamplingIterative Denoising Methods

    University of Applied Sciences Western Switzerland, HES-SO Geneva · Computer Science Department, University of Geneva

  15. METALICA: METAdynamics and repLICA exchange for enhanced diffusion sampling

    Sep 15, 2026Alireza Omidi, Jiajun He, Jörg Gsponer +1Markov Chain Monte CarloDiffusion Sampling

    University of British Columbia · University of Cambridge

  16. Accelerating Diffusion Sampling via Speculative Draft Trees

    Sep 15, 2026Marcello Bullo, Yanxiao Liu, Öykü Sıla Güner +2Diffusion SamplingTrees

    Imperial College London

  17. ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation

    Sep 14, 2026Salvatore Romano, Marco Grassia, Pietro Liò +1Physics-Guided DiffusionLearnable Prototypes

    Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy · Department of Computer Science and Technology, University of Cambridge, UK · University Campus Bio-Medico of Rome, Italy

  18. Physical-State-Guided Diffusion Sampling for Full-Waveform Inversion

    Sep 14, 2026Chen Min, Haowen Jiang, Zheng Ma +1Full Waveform InversionDiffusion Sampling

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China · School of Mathematics and Statistics, Lanzhou University, Lanzhou, China

  19. Exact Global MCMC with Denoising Diffusion

    Aug 31, 2026Mitch HillMarkov Chain Monte CarloDiffusion Sampling

  20. DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimation

    Aug 31, 2026Chang Nie, Guangming Wang, Zhe Liu +1Computer VisionDiffusion Sampling

    School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China. · 2Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China. · Department of Engineering, Cambridge University, Cambridge, CB2 1TN, UK.

  21. The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity

    Aug 13, 2026Martin J. WainwrightDiffusion SamplingGeometric Constraints

    Lab for Information and Decision Systems · Statistics and Data Science Center · EECS and Mathematics

  22. A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models

    Aug 9, 2026Samuel Howard, Nikolas NüskenDiffusion SamplingInference-Time Steering

    Department of Statistics, University of Oxford · Department of Mathematics, King’s College London

  23. Denoising growth complexity: Data geometry and certified schedules for diffusion sampling

    Jul 28, 2026Martin J. WainwrightDiffusion SamplingGrowth

    Lab for Information and Decision Systems Statistics and Data Science Center EECS and Mathematics, Massachusetts Institute of Technology

  24. Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling

    Jul 27, 2026Qitan Shi, Cheng Jin, Ziyuan Liu +1Diffusion SamplingText-To-Image Diffusion Models

    Tsinghua University

  25. Diffusion-Guided Search via Exponential Tilting (DiffTilt): An Application to Falsification of Safety-Critical Systems

    Jul 25, 2026Tanmay Khandait, Preetom Biswas, Hideki Okamoto +3Safety-Critical ScenariosFalsehood

    School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA · Toyota Motor North America, Research & Development, Ann Arbor, MI 48105, USA

  26. Provable diffusion-based posterior sampling for linear inverse problems via DDIM

    Jul 21, 2026Yuchen Jiao, Na Li, Changxiao Cai +2Bayesian Inverse ProblemsPosterior Sampling

    Department of Statistics and Data Science, Chinese University of Hong Kong, Hong Kong · Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA · Department of Statistics and Data Science, the Wharton School, University of Pennsylvania, PA, USA

  27. Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehicles

    Jul 20, 2026Hailey Warner, Duncan Eddy, Shreya Parjan +6Autonomous NavigationCollision Prediction

    Department of Aeronautics and Astronautics, Stanford University, Palo Alto, CA · Torc Robotics, Blacksburg, VA

  28. Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting

    Jul 12, 2026Peizhuo Li, Emre Aksan, Alexandru-Eugen Ichim +2Diffusion SamplingDiffusion Models

    ETH Zurich · Google

  29. Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling

    Jul 9, 2026Yiwei ZhouDiffusion SamplingWasserstein Gradient Flows

  30. Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling

    Jul 7, 2026Robert Gruhlke, Julius Berner, David Sommer +1Diffusion SamplingDiffusion Models

    Freie Universität Berlin · NVIDIA · WIAS +2

  31. D2PO: Optimizing Diffusion Samplers via Dynamic Preference

    Jul 7, 2026Jinkyu Kim, Jinyoung Choi, Bohyung HanDiffusion SamplingPerceptual Quality

    1ECE & 2IPAI, Seoul National University, Korea · 3AIGS, Ulsan National Institute of Science and Technology, Korea

  32. Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion Sampling

    Jul 6, 2026Stanislas Strasman, Gabriel Victorino Cardoso, Sylvain Le Corff +2Diffusion SamplingMonte Carlo

    SU, LPSM · Sorbonne Université and Université Paris Cité, CNRS, LPSM, F-75005 Paris, France · LPSM +2

  33. Adaptive Reparametrized Time for Score-Based Diffusion Sampling

    Jul 2, 2026Yilie Huang, Wenpin Tang, Xun Yu ZhouDiffusion SamplingTimestep

    Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong. · Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027, USA. · Department of Industrial Engineering and Operations Research and Data Science Institute, Columbia University, New York, NY 10027, USA.

  34. A Mathematical Introduction to Diffusion Models

    Jul 2, 2026Jianfeng LuDiffusion SamplingDiffusion Models

  35. Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling

    Jul 1, 2026Yu Yao, Huanjian Zhou, Andi Han +2Diffusion SamplingDiffusion Models

    The University of Tokyo · The University of Sydney · RIKEN AIP & The Institute of Statistical Mathematics +1

  36. OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models

    Jun 30, 2026Huanlin Gao, Fang Zhao, Qiang Hui +8Diffusion ModelsDiffusion Sampling

    Data Science & Artificial Intelligence Research Institute, China Unicom · Unicom Data Intelligence, China Unicom · National Key Laboratory for Novel Software Technology, Nanjing University

  37. Diffusion-warm sampling of the XY model enables fast thermalization at scale

    Jun 29, 2026Sehmimul Hoque, Roger Melko, Pooya RonaghMarkov Chain Monte CarloSpatial Photonic Ising Machines

    Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada · Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada · Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada +1

  38. Stochastic Optimal Control Sampling for Diffusion Inverse Problems

    Jun 27, 2026Jie Zhang, Youmei Qiu, Hanling Tian +3Bayesian Inverse ProblemsDiffusion Sampling

    School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China · Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

  39. Measured-Subspace Consistency: A Plug-and-Play Operator for Diffusion Posterior Sampling in Accelerated MRI Reconstruction

    Jun 26, 2026Junhyeok Lee, Kyu Sung ChoiMagnetic Resonance Imaging ReconstructionPosterior Sampling

    Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine · Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital · Healthcare AI Research Institute, Seoul National University Hospital

  40. Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices

    Jun 22, 2026Changxiao Cai, Yuchen Jiao, Gen LiDiffusion SamplingLow-Dimensional Structure

    Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA · Department of Statistics and Data Science, Chinese University of Hong Kong, Hong Kong

  41. Variance-Tilted Diffusion Models for Diverse Sampling

    Jun 20, 2026Iskander Azangulov, Leo Zhang, Kianoosh AshouritaklimiDiffusion SamplingDiffusion Dynamics

    Department of Statistics, University of Oxford, Oxford, UK.

  42. Depth-Entropy Guided Sampling for Training-Free LLM Reasoning

    Jun 19, 2026Zibin Meng, Peng Xie, Kani ChenLLM Reasoning StrategiesRecursive Reasoner

    1The Hong Kong University of Science and Technology

  43. ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging

    Jun 19, 2026Tianao Li, Tjitske Starkenburg, Yu Sun +1Image ReconstructionBayesian Inverse Problems

    Department of Computer Science, Northwestern University, Evanston, IL 60208

  44. NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward Alignment

    Jun 16, 2026Jisung Hwang, Yunhong Min, Jaihoon Kim +2Diffusion SamplingReward Gradients

    1KAIST · †This work was done in part while the author was a visiting researcher at The University of Tokyo. · 2The University of Tokyo

  45. Constrained Diffusion Models with Primal-Dual Inference

    Jun 15, 2026Samar Hadou, Yigit Berkay Uslu, Alejandro RibeiroDiffusion SamplingPrimal-Dual Methods

    Department of Electrical and Systems Engineering University of Pennsylvania

  46. Wasserstein Convergence of ODE-Based Samplers in Decentralized Diffusion Model via Velocity Field Decomposition

    Jun 14, 2026Chencheng Tang, Xuanyu Xue, Fangyikang Wang +2Diffusion SamplingAccelerated Sampling

    Peking University · Shanghai Jiao Tong University · MBZUAI +2

  47. DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising

    Jun 13, 2026Paolo Giaretta, Zeyang Li, Navid AzizanDiffusion PlanningDiffusion Sampling

    MIT

  48. Smoothing Dark Areas in Molecular Latent Diffusion

    Jun 11, 2026Xi Wang, Jiahan Li, Yuxuan Xia +3Molecular GenerationStar-Vae

    New York University · Stanford University

  49. Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling

    Jun 11, 2026Jagriti Singh, Shekhar Verma, Muneendra OjhaDiffusion SamplingDiffusion Models

    Department of IT IIIT Allahabad

  50. A Stabilized Path-Space Approach to Diffusion-Based Posterior Sampling

    Jun 10, 2026Evan Scope Crafts, Umberto Villa, Saviz Mowlavi +3Posterior SamplingDiffusion Sampling

    Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX · Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX · Mitsubishi Electric Research Laboratories, Cambridge, MA

  51. Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations

    Jun 2, 2026Niccolò Perrone, Fanny Lehmann, Stefania Fresca +1Neural OperatorsNeural Partial Differential Equation Solvers

    Université Paris-Saclay, CentraleSupélec, CNRS, ENS Paris-Saclay · Laboratoire de Mécanique Paris-Saclay UMR 9026 · 8-10 rue Joliot Curie, 91190 Gif-sur-Yvette, France +5

  52. Self-Regulating Annealing in Heavy-Tailed Diffusion Models

    Jun 1, 2026Keito Wakatsuki, Hideaki ShimazakiDiffusion SamplingAccelerated Sampling

    Graduate School of Informatics Kyoto University, Kyoto, Japan

  53. Colored Noise Diffusion Sampling

    May 28, 2026Hadar Davidson, Noam Issachar, Sagie BenaimDiffusion SamplingStochastic Differential Equations

    The Hebrew University of Jerusalem

  54. Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping

    May 27, 2026Seunghyeok Shin, Minwoo Kim, Dabin Kim +1Diffusion SamplingDiffusion Models

    Department of Electrical and Computer Engineering, Inha University, Incheon, 22212, South Korea.

  55. From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models

    May 26, 2026Yuchen Liang, Ness Shroff, Yingbin LiangDiffusion SamplingDiffusion Dynamics

    The Ohio State University

  56. Sampling Data with Chains of Forward-Backward Diffusion Steps

    May 26, 2026Hyunmo Kang, Noam Itzhak Levi, Corinna Elena Wegner +2Diffusion SamplingDiffusion Models

    Johns Hopkins University · EPFL · EPFL & University of Göttingen +1

  57. On the Error-Correcting Effects of Stochasticity in Discrete Diffusion

    May 26, 2026William Yuan, Sungwon Jeong, Amirali AghazadehDiffusion SamplingDiffusion Models

    Georgia Institute of Technology

  58. Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules

    May 26, 2026Junseo Bang, Dong Ju Mun, Hoigi Seo +2Posterior SamplingDiffusion Sampling

    Dept. of Electrical and Computer Engineering · INMC · IPAI & AIIS

  59. Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning

    May 24, 2026Hichem Cheriet, Badra Khellat Kihel, Samira Chouraqui +1Geometric PlanningRobot Planning

  60. Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion

    May 23, 2026Sol Park, Soobin UmDiffusion SamplingMinority

    Agency for Defense Development, Daejeon, South Korea · Department of Artificial Intelligence, Kookmin University, Seoul, South Korea.