Accelerated Sampling

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Fixed-point neural samplers on discrete spaces

    Oct 1, 2026Jiajun He, Denis Blessing, Mouyang Cheng +2Accelerated SamplingGibbs

    MIT · Microsoft Research New England

  2. Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

    Oct 1, 2026Yunrui Guan, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanCounterfactual GenerationAccelerated Sampling

    Department of Applied Mathematics and Statistics, Johns Hopkins University. · Amazon · Department of Statistics, University of California, Davis.

  3. Attention-Scoped Guidance: Training-Free Spatial Control for Image Editing

    Sep 28, 2026Zeyan Li, Wei Zhou, Hadi Amirpour +3Image EditingClassifier-Free Guidance

    Shanghai Jiao Tong University · Cardiff University · University of Klagenfurt +1

  4. 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

  5. MetaSampling: Making Frame Samplers Efficient for Long-Video Question Answering

    Sep 27, 2026Ashim Dahal, Bikramjit BanerjeeLong Video Question AnsweringMultimodal Large Language Models

    University of Southern Mississippi Hattiesburg, MS, USA

  6. Deep operator learning for efficient sampling from invariant measures of stochastic differential equations

    Sep 10, 2026Ling Guo, Lei Li, Jingtong ZhangAccelerated SamplingStochastic Differential Equations

    Department of Mathematics, Shanghai Normal University, Shanghai, China · School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai, China

  7. FrOGS: Discrete Neural Sampler for Independent Alloy Configurations Across Chemical Conditions

    Sep 1, 2026Kyucheol Min, Elyssa Hofgard, Tess SmidtMarkov Chain Monte CarloAccelerated Sampling

    Massachusetts Institute of Technology Cambridge, MA 02139

  8. Thermalizing Stochastic Programs

    Aug 3, 2026Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6StochasticStochastic Optimization

    Extropic Corporation, San Francisco, California 94111, USA · CUNY Graduate Center, New York, NY, USA

  9. Back to All-Entity Ranking: Sampler-Dependent Evaluation in Continuous-Time Dynamic Graphs

    Jul 30, 2026Minwoo Yu, Young-guk HaRankingMultiple Centrality Measures

    Smart Computing Laboratory, Department of Computer Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea

  10. Field Codes for Distributed Coupling Samplers and Certified Empirical Transport

    Jul 29, 2026Hung Mai, Hai Nguyen, Luong Doan +4Optimal Transport ApproachAccelerated Sampling

    1B0Labs, N2TP Technology · 3Nanyang Technological University · 4Phenikaa University, Vietnam

  11. ATLAS: A Foundation Neural Sampler for Amorphous Materials

    Jul 21, 2026Mouyang Cheng, Denis Blessing, Botao Yu +4Molecular DynamicsMaterials Science

    Microsoft Research New England, Cambridge, MA 02142, USA · Center for Computational Science and Engineering, MIT, Cambridge, MA 02139, USA · Department of Materials Science and Engineering, MIT, Cambridge, MA 02139, USA +4

  12. ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation

    Jul 15, 2026Nutan Chen, Jianxiang Feng, Marvin Alles +1Contrastive Flow MatchingHuman Motion Generation

    LS Wiiri Robot Innovation Center · Independent Researcher · Technical University of Munich +1

  13. Constrained Decoding for Diffusion Language Models via Efficient Inference over Finite Automata

    Jul 8, 2026Meihua Dang, Stefano ErmonConstrained DecodingDiffusion Language Models

    Stanford University

  14. x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability

    Jul 7, 2026Xin Peng, Ang GaoAccelerated SamplingDecoding

    School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China

  15. Asymptotic Preservation and Uniform Accuracy of Diffusion and Flow-Matching Samplers

    Jul 5, 2026Shiheng ZhangAccelerated SamplingTime Discretization

    University of Washington

  16. Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition

    Jul 1, 2026Zhiqi Li, Wen Zhang, Bo ZhuFlow MapInvertible Flows

    Georgia Institute of Technology, Atlanta, GA, USA.

  17. Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics

    Jun 25, 2026Benedict Leimkuhler, Peter A. WhalleyLangevin DynamicsAccelerated Sampling

    School of Mathematics, University of Edinburgh, Edinburgh, UK. · Seminar for Statistics, Department of Mathematics, ETH Zürich, Zürich, Switzerland.

  18. A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching

    Jun 23, 2026Feiyang Fu, Hehe FanAccelerated SamplingConditional Flow Matching

    College of Artificial Intelligence, Zhejiang University, Hangzhou, China.

  19. Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models

    Jun 22, 2026Rishabh Sharma, Stefano MartinianiDiffusion ModelsIterative Denoising Methods

    Simons Center for Computational Physical Chemistry, New York University · Center for Soft Matter Research, Department of Physics, New York University · Center for Neural Science, New York University +1

  20. Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs

    Jun 22, 2026Vansh Bansal, Cho Cholyeon, Syamantak Kumar +2Masked Diffusion Language ModelsAccelerated Sampling

    UT Austin SDS · UT Austin CS · UT Austin ECE

  21. StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns

    Jun 17, 2026Vlad Sobal, Shuo Yang, Yuting Zhang +2Coding AgentsAgentic Benchmarks

    AWS Agentic AI

  22. LESS Is More: Mutual-Stability Sampling for Diffusion Language Models

    Jun 15, 2026Amr Mohamed, Guokan Shang, Michalis VazirgiannisDiffusion Language ModelsDiffusion Models

    1MBZUAI · 2Ecole Polytechnique

  23. 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

  24. Itô maps for any-step SDEs

    Jun 9, 2026Zhengkai Pan, Peter Potaptchik, Wenxi Yao +2Stochastic Differential EquationsInvertible Flows

    Harvard University · University of Oxford · Kempner Institute

  25. Think Fast and Far: Long-Horizon Online POMDP Planning via Rapid State Sampling

    Jun 3, 2026Yuanchu Liang, Edward Kim, J. Arden Knoll +4Partially Observable Markov Decision ProcessAccelerated Sampling

    Australian National University, Canberra ACT 2601, Australia. · Rice University, Houston TX 77005, USA.

  26. BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers

    Jun 1, 2026Justin Deschenaux, Caglar GulcehreDiffusion ModelsDiffusion Language Models

    EPFL Lausanne, Switzerland · EPFL, Lausanne, Switzerland · Microsoft AI

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

    Jun 1, 2026Keito Wakatsuki, Hideaki ShimazakiDiffusion SamplingAccelerated Sampling

    Graduate School of Informatics Kyoto University, Kyoto, Japan

  28. Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models

    May 22, 2026Jade Zou, Tao Huang, Weijie Kong +7Accelerated SamplingReward Gradients

    Peking University · Tencent Hunyuan

  29. MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics

    May 20, 2026Xiaochen Du, Juno Nam, Jaemoo Choi +7Accelerated SamplingMolecular Dynamics

    Massachusetts Institute of Technology · Georgia Institute of Technology

  30. Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schrödinger Samplers

    May 15, 2026Bruno Trentini, Dejan Stancevic, Michael M. Bronstein +2Schrödinger BridgesAccelerated Sampling

    NVIDIA Corporation, Santa Clara, CA, USA · University of Oxford, Dept. of Computer Science, Oxford, UK · Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, NL +1

  31. Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching

    May 12, 2026Aditi Gupta, Soon Hoe Lim, Annan Yu +1Conditional Flow MatchingAccelerated Sampling

    Lawrence Berkeley National Laboratory · International Computer Science Institute · 1Lawrence Berkeley National Laboratory, 2International Computer Science Institute +4

  32. Inverse Design for Conditional Distribution Matching

    May 10, 2026Ori Meidler, Shaul Tolkovsky, Or ZukText-Conditioned Diffusion ModelGenerative Models

    Department of Statistics and Data Science Hebrew University of Jerusalem

  33. Scaling Categorical Flow Maps

    May 8, 2026Oscar Davis, Anastasiia Filippova, Pierre Ablin +4Latent FlowFlow Map

    Apple · University of Oxford

  34. Sampling two-dimensional spin systems with transformers

    Apr 30, 2026Piotr Białas, Piotr Korcyl, Tomasz Stebel +2Spatial Photonic Ising MachinesAccelerated Sampling

    Institute of Applied Computer Science, Jagiellonian University, ul. Łojasiewicza 11, 30-348 Kraków, Poland · Institute of Theoretical Physics, Jagiellonian University, ul. Łojasiewicza 11, 30-348 Kraków, Poland · Doctoral School of Exact and Natural Sciences, Jagiellonian University, ul. Łojasiewicza 11, 30-348 Kraków, Poland

  35. Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation

    Apr 12, 2026Sandro AndricNegotiationMulti-Agent Simulations

  36. Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling

    Mar 18, 2026Sooyoung Ryu, Mathieu Salzmann, Saqib JavedDiffusion SamplingAccelerated Sampling

    Department of Computer Science and Engineering, Seoul National University, Seoul, South Korea · School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland · Meta Reality Labs, Redmond, USA

  37. Stable Velocity: A Variance Perspective on Flow Matching

    Feb 5, 2026Donglin Yang, Yongxing Zhang, Xin Yu +5Contrastive Flow MatchingAccelerated Sampling

    University of Hong Kong, Hong Kong · University of British Columbia, Canada · Vector Institute for AI, Toronto, Canada +2

  38. Enabling Approximate Joint Sampling in Diffusion LMs

    Sep 25, 2025Parikshit Bansal, Sujay SanghaviDiffusion Language ModelsDiffusion Models

    UT Austin

  39. Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling

    Date pendingArman Adibi, Alireza Jafari, Mohammad Ghavamzadeh +1Accelerated SamplingTransformer Architectures

    School of Computer and Cyber Sciences, Augusta University · Department of Computer Science, University of Virginia · Qualcomm AI Research