Adaptive Sampling

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11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Search Shapes Conclusions: Auditing Evidence Selection Bias in Deep Research Agents

    Sep 30, 2026Shuyao Xiao, Shengling Wang, Xuan Chen +8Deep ResearchAdaptive Sampling

    Beijing Normal University · Ke Holdings

  2. ARISE: Adapting to Evolving Capability Gaps in Agentic Reinforcement Learning

    Sep 28, 2026Kun Feng, Yuchen Fang, Yiyang Tan +6Agentic Reinforcement LearningLong-Horizon Agents

    ShanghaiTech University · Ant Group

  3. One Proposal for Every Margin: Zero-Shot Amortized Sequential Importance Sampling for Binary Matrices

    Sep 28, 2026Ruishuo Chen, Weijia Li, Xun Wang +3Adaptive SamplingBits

    Institute for Interdisciplinary Information Sciences, Tsinghua University · Department of Statistics and Data Science, Tsinghua University

  4. Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training

    Sep 28, 2026Yuyang Deng, Yu Wang, Jiayun WangOn-Policy Self-EvolutionLLM Reasoning Strategies

    Accenture, Center for Advanced AI · Georgia Institute of Technology

  5. What Survives on Real Drawings: Active Sampling, Connectome Wiring, and Matched Baselines in Architectural Document Vision

    Sep 21, 2026Dmitry KuklevMotion-Based PerceptionAdaptive Sampling

    Independent Researcher

  6. How Many Posterior Samples? Calibrated Stopping for Adaptive Sensing

    Sep 18, 2026Vincent Corlay, Andriy EnttselAdaptive SamplingPosterior Sampling

    Mitsubishi Electric R&D Centre Europe

  7. FASA: Feedback-Aware Sampling Adaptation for Efficient Diffusion-Based VLA Models

    Sep 16, 2026Yuchen Han, Jianhan Wu, Xiaoyang Qu +3Diffusion-Based Vision-Language-ActionsAdaptive Sampling

    South China University of Technology Guangzhou, China · Ping An Technology (Shenzhen) Co., Ltd. Shenzhen, China · Harbin Institute of Technology Shenzhen, China

  8. Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling Strategy

    Sep 15, 2026Jiale Shen, Guolin Wang, Chenhao Wang +3Positron Emission TomographyRectified Flow

    College of Biomedical Engineering & Instrument Science, Zhejiang University, Zhejiang, 310063, China

  9. Mini-batch Sampling Strategies for Long-Tailed Image Classification: An Empirical Study on CIFAR-100-LT

    Sep 14, 2026Siyu YuanImbalanced ClassificationOversampling

    School of Mathematics, University of Bristol

  10. GUIDE: Generative Utility Inference and Decision Engine

    Sep 14, 2026Anagha Tiwari, Alexander G. Gray, Nick Feamster +3Preference Alignment LearningElicitation

    Department of Computer Science, University of Chicago · Centaur AI Institute, University of Chicago · Heinz College & School of Computer Science, Carnegie Mellon University +1

  11. Online Language Adaptive Sampling for Better Distributed Cross-lingual Gains

    Sep 14, 2026Quang Phuoc Nguyen, Félix Gaschi, David Anugraha +2Cross-Lingual TransferLarge Language Model Adaptation

    1Ontario Tech University · 2Doctrine · 3Stanford University +2

  12. ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware

    Sep 1, 2026Yuannuo Feng, Yizhe Chen, Wenshuai Yao +4Diffusion ModelsIn-Memory Computing

    School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · Zhicun Research Lab, Beijing, China · School of Integrated Circuits, Peking University, Beijing, China +1

  13. CANVAS: Consistency-Aware Navigation via Visual Adaptive Sampling for Long-Context Text-to-SVG Generation

    Aug 31, 2026Yichen Wu, Haoxuan Qu, Yihang Lou +2Scalable Vector GraphicSketches

    University of Nottingham · Lancaster University · Peking University

  14. PAST: Prompt-Adaptive Sampling Termination for Efficient Diffusion Model

    Aug 7, 2026Renye Yan, Jikang Cheng, You Wu +4Diffusion-Based Reinforcement Learning MethodsDiffusion Models

    Peking University Beijing, China

  15. Interpretable Adaptive Sampling for LLM Test-Time Scaling

    Aug 4, 2026Mobina Kashaniyan, Ali JannesariTest-Time ScalingTest Time

    Iowa State University Ames, IA, USA

  16. Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization

    Aug 3, 2026Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1Post-Disaster Damage AssessmentDisaster Response

    School of Computing and Augmented Intelligence, Arizona State University · Department of Industrial and Systems Engineering, University of Florida · Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology

  17. GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection

    Aug 3, 2026Hetian Liu, Jin Cui, Mengcheng Shi +4Geometry-Aware Uncertainty CoresetsAdaptive Sampling

    State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University · School of Software Engineering, Xi’an Jiaotong University · School of Computer Science and Technology, Xi’an Jiaotong University

  18. Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models

    Jul 30, 2026Chia-Ming Lee, Shao-Kai Liu, Ming-Ching Chang +3Diffusion Language ModelsDiffusion Models

    National Yang Ming Chiao Tung University · University at Albany, SUNY

  19. Guiding Posterior Exploration with Optimizer-Derived Geometry

    Jul 28, 2026Moritz Schlager, Emanuel Sommer, Thomas Möllenhoff +1Adaptive SamplingBayesian Neural Networks

    TUM, MCML · LMU Munich, MCML · RIKEN AIP

  20. Learning Sampling Parameters for Diffusion Models

    Jul 26, 2026Arisrei Lim, Yossi GandelsmanDiffusion ModelsAdaptive Sampling

    Reve

  21. Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI

    Jul 22, 2026Ruru Xu, Kian Anvari Hamedani, Zhikai Yang +1Adaptive SamplingMagnetic Resonance Imaging

    Computer Engineering Department, Istanbul Technical University, Istanbul, Turkey · Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada · Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada +1

  22. Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation

    Jul 16, 2026Enrico Halim, Hemant Kumar Singh, Tapabrata RayBlack-Box OptimizationGenetic Algorithms

    The University of New South Wales, Canberra, Australia

  23. Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions

    Jul 13, 2026Yongquan Shi, Zijing Ou, Shiping Wang +1Variational InferenceSurrogate Gradient

    Fuzhou University · Imperial College London · National University of Singapore

  24. Efficient Online Proportional Sampling with Applications to Smoothed Online Learning

    Jul 13, 2026Amirmahdi Mirfakhar, Maria-Florina Balcan, Hedyeh BeyhaghiLearning-Augmented AlgorithmsBounded Adversary

    University of Massachusetts Amherst · Carnegie Mellon University

  25. Self-Improving Diffusion Classifiers with Minority Preference Optimization

    Jul 4, 2026Hyunsoo Kim, Jungmyung Wi, Soobin Um +2Diffusion ModelsMinority

    1Korea University · 2Kook Min University · 3Kyung Hee University

  26. CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification

    Jul 3, 2026Alexandre L. M. LevadaData ManifoldAdaptive Sampling

    Federal University of São Carlos 13565-905, São Carlos-SP, Brazil

  27. Stochastic Gradient Optimization with Model-Assisted Sampling

    Jun 25, 2026Jonne Pohjankukka, Jukka HeikkonenStochastic Gradient DescentVariance Reduction

    University of Turku, Department of Computing

  28. FPAS: Frontier-Based Path Planning with Adaptive Sampling for Large-Scale Unknown Environments

    Jun 22, 2026Jinwoo Choi, Yeonkyu Lee, Jung-Taak Kim +2Path PlanningAdaptive Sampling

    Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea

  29. Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models

    Jun 18, 2026Darrien McKenzie, Nicklas Hansen, Xiaolong WangCurriculum Reinforcement LearningLarge Language Model Reinforcement Learning

    University of California, San Diego

  30. Uncertainty Quantification of Engineering Structures by Polynomial Chaos Expansion and Multivariate Active Learning

    Jun 15, 2026Qitian Lu, Jafar Jafari-Asl, Panagiotis Spyridis +1Surrogate ModelsUncertainty Quantification

    Brno University of Technology, Brno, Czech Republic · University of Rostock, Rostock, Germany

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

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

    1MBZUAI · 2Ecole Polytechnique

  32. Learning Task-Aware Sampling with Shared Saliency through Density-Equalizing Mappings

    Jun 11, 2026Tsz Lok Ip, Han Zhang, Lok Ming LuiSaliencyReceptive Fields

    Department of Mathematics, The Chinese University of Hong Kong, Hong Kong, China. · Department of Mathematics, City University of Hong Kong, Hong Kong, China.

  33. Learning Unions of Convex Sets via Invertible Latent Decomposition for Path Planning

    Jun 10, 2026Taerim Yoon, Dongho Kang, Kisang Park +3Collision-Free TrajectoriesPath Planning

    Korea University · ETH Zurich

  34. Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models

    Jun 9, 2026Yusuf Sahin, Ahmed Rockey Saikia, Volkan Cevher +1Masked Diffusion Language ModelsDiffusion Language Models

    University of Bern, Bern, Switzerland · EPFL, Lausanne, Switzerland

  35. Frequency-based Constrained Sampling for Interval Patterns

    Jun 8, 2026Djawad Bekkoucha, Abdelkader Ouali, Bruno CrémilleuxData MiningAdaptive Sampling

    Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Université Paris-Saclay, CNRS, 91405 Orsay, France · Université Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR6072, F-14000 Caen, France

  36. DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains

    Jun 4, 2026Anshima Singh, David J. SilvesterPartial Differential EquationsTime Discretization

    Department of Mathematics, University of Manchester, Oxford Road, Manchester M13 9PL, UK

  37. Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events

    Jun 4, 2026Rishal Aggarwal, David Ryan Koes, Nicholas M. Boffi +1Conditional Flow MatchingReaction

    CMU-Pitt Program in Computational Biology Dept. of Computational & Systems Biology University of Pittsburgh · Machine Learning Department Dept. of Mathematical Sciences Carnegie Mellon University · Courant Institute, New York University Machine Learning Lab +1

  38. Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling

    Jun 2, 2026Runpeng Dai, Tong Zheng, Rui Liu +2Test-Time ScalingAdaptive Sampling

    University of North Carolina at Chapel Hill · University of Maryland, College Park · Washington University in St. Louis

  39. Parallel Tempering Initial Sampling in Inference-Time Reward Alignment

    May 29, 2026Myeongjun Oh, Gwangho Kim, Sungyoon LeeAdaptive SamplingReward Gradients

    Department of Artificial Intelligence 2Department of Computer Science Hanyang University, Seoul, Korea

  40. Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm

    May 27, 2026Feng Qiu, Zheng Fang, Shuhang Zhang +4Radio Map EstimationUnmanned Aerial Vehicle Trajectories

    School of Artificial Intelligence, Xidian University, Xian, China · Pengcheng Laboratory, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China +2

  41. A computational phase transition for learning-to-sample from Ising models

    May 23, 2026Andrej Risteski, Thuy-Duong VuongSpatial Photonic Ising MachinesPhase Transitions

    Machine Learning Department, Carnegie Mellon University. · Department of Computer Science and Engineering, UC San Diego.

  42. Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning

    May 20, 2026Emanuel Sommer, David RügamerBayesian Neural NetworksAdaptive Sampling

    Department of Statistics, LMU Munich, Munich, Germany · Munich Center for Machine Learning, Munich, Germany.

  43. Active Context Selection Improves Simple Regret in Contextual Bandits

    May 19, 2026Mohammad Shahverdikondori, Jalal Etesami, Negar KiyavashAdaptive Sampling

    College of Management of Technology, EPFL · Department of Computer Science, TU Munich

  44. SIREM: Speech-Informed MRI Reconstruction with Learned Sampling

    May 18, 2026Md Hasan, Nyvenn Castro, Daiqi Liu +6Magnetic Resonance Imaging ReconstructionSpeaker

    1Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · 3Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany +1

  45. Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation

    May 18, 2026Baoteng Li, Xianghao Zang, Xinran Wang +8Adaptive SamplingMultimodal Dataset

    School of Artificial Intelligence, Beijing University of Posts and Telecommunications1 · Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance3 · Institute of Artificial Intelligence (TeleAI), China Telecom2

  46. SEED: Targeted Data Selection by Weighted Independent Set

    May 15, 2026Yuan Zhang, Lifeng Guo, Junwen Pan +5Alignment-Aware SelectionAdaptive Sampling

    School of Computer Science, Peking University · Beijing University of Posts and Telecommunications · Tianjin University +2

  47. In-Context Learning for Data-Driven Censored Inventory Control

    May 14, 2026Sohom Mukherjee, Anh-Duy Pham, Richard Pibernik +1Inventory ControlAdaptive Sampling

    Julius-Maximilians-Universität Würzburg · National University of Singapore Zaragoza Logistics Center

  48. Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling

    May 14, 2026Nicholas E. Corrado, Wenyuan Huang, Josiah P. HannaMulti-Turn Reinforcement LearningAdaptive Sampling

    Computer Sciences Department · University of Wisconsin – Madison

  49. Kernel-based guarantees for nonlinear parametric models in Bayesian optimization

    May 13, 2026Rafael OliveiraBayesian OptimizationNonlinearity

    The Commonwealth Scientific and Industrial Research Organisation (CSIRO) Sydney, Australia

  50. AIS: Adaptive Importance Sampling for Quantized RL

    May 13, 2026Jiajun Zhou, Wei Shao, Lingchao Zheng +2Large Language Model Reinforcement LearningAdaptive Sampling

    Huawei · The University of Hong Kong

  51. LiBaGS: Lightweight Boundary Gap Synthesis for Targeted Synthetic Data Selection

    May 11, 2026Abhishek Moturu, Anna Goldenberg, Babak TaatiSynthetic DataSynthetic Training Data

    Department of Computer Science University of Toronto The Hospital for Sick Children UHN KITE Research Institute T-CAIREM Vector Institute · Department of Computer Science Department of Laboratory Medicine and Pathobiology University of Toronto The Hospital for Sick Children T-CAIREM Vector Institute · Department of Computer Science Institute of Biomedical Engineering University of Toronto Rehabilitation Sciences Institute UHN KITE Research Institute Vector Institute

  52. Let the Target Select for Itself: Data Selection via Target-Aligned Paths

    May 10, 2026Huitao Yang, Hengzhi He, Tung Sum Thomas Kwok +1Alignment-Aware SelectionAdaptive Sampling

    University of California, Los Angeles

  53. Actor-Critic with Active Importance Sampling

    May 8, 2026Majid Molaei, Gabor Paczolay, Matteo Papini +2Soft Actor-CriticAdaptive Sampling

    Politecnico di Milano Milan, Italy

  54. FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling

    May 6, 2026Guangyi Zhang, Yi Dai, Yiyun He +1Federated LearningAdaptive Sampling

    Department of Computer Science, University of California, Irvine · Department of Mathematics, University of California, San Diego

  55. Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion

    May 4, 2026Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara JavidiVideo CompressionUltra-Low Bitrates

    Department of Electrical and Computer Engineering University of California San Diego · Department of Electrical and Systems Engineering University of Pennsylvania · Department of Electrical and Computer Engineering2026 University of California San Diego

  56. Information-geometric adaptive sampling for graph diffusion

    Apr 30, 2026Yuhui Lu, Wenjing Liu, Kun ZhanAdaptive SamplingFidelity

    School of Information Science and Engineering, Lanzhou University, Gansu, China.

  57. Analytical Correction for Subsampling Bias in Drifting Models

    Apr 29, 2026Jiaru Zhang, Zeyun Deng, Juanwu Lu +2Per-Node CorrectionAdaptive Sampling

    Purdue University

  58. COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling

    Apr 22, 2026Noah FlynnMultilingual Language ModelsLarge Language Model Adaptation

    UC Berkeley

  59. Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation

    Apr 21, 2026Johannes Schusterbauer, Ming Gui, Yusong Li +3Image GenerationTimestep

  60. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections

    Aug 16, 2025Haebin Shin, Lei Ji, Xiao Liu +4Multimodal Continual Instruction TuningInstruction Tuning

    University of Michigan · Microsoft Research · KAIST AI +1