Adaptive Sampling

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Period ending 2026-09-21

5 new papers

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Adaptive Sampling.

Period ending 2026-09-07

1 new paper

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56 papers

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

    Sep 16, 2026Yuchen Han, Jianhan Wu, Xiaoyang Qu +3Real-Time InferenceAdaptive Sampling

  2. 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

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

    Sep 14, 2026Siyu YuanExtreme Class ImbalanceOversampling

  4. GUIDE: Generative Utility Inference and Decision Engine

    Sep 14, 2026Anagha Tiwari, Alexander G. Gray, Nick Feamster +3Pairwise PreferencesElicitation

  5. 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

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

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

  7. Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training

    Aug 11, 2026Artyom Sabitov, Daniil Volkov, Alexey ZaytsevRecommender SystemsBatch Size

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

    Aug 7, 2026Renye Yan, Jikang Cheng, You Wu +4Adaptive SamplingExternal Reward Models

  9. Interpretable Adaptive Sampling for LLM Test-Time Scaling

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

  10. 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 AssessmentDisasters

  11. 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 ModelsAdaptive Sampling

  12. Endo-NeRF++: Uncertainty-Aware Neural Rendering with Multi-Resolution Hash Encoding for Dynamic Surgical Scene Reconstruction

    Jul 30, 2026Gousia Habib, Laura RuotsalainenNeural RenderingDynamic Scene Reconstruction

  13. BayesAME: Bayesian Active Model Evaluation

    Jul 29, 2026Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet +2Geometry-Aware Uncertainty CoresetsModel Selection

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

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

  15. Deep Adaptive Bayesian Screening

    Jul 18, 2026Jade Lejeune Herman, Arno Strouwen, Johan A. K. Suykens +1Bayesian Experimental DesignBayesian

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

    Jul 16, 2026Enrico Halim, Hemant Kumar Singh, Tapabrata RayBlack-Box OptimizationEvolutionary Search

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

    Jul 13, 2026Amirmahdi Mirfakhar, Maria-Florina Balcan, Hedyeh BeyhaghiLearning-Augmented AlgorithmsOptimal Sample Complexity

  18. Is Randomness Necessary for Adaptive Data Analysis?

    Jul 8, 2026Edith Cohen, Haim Kaplan, Yishay Mansour +2Optimal Sample ComplexityData Collection

  19. Self-Improving Diffusion Classifiers with Minority Preference Optimization

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

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

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

  21. Data and Evaluation Closed-Loop for Model Capability Enhancement

    Jun 26, 2026Zhixuan Li, Jiangan Yuan, Han XuLarge Language Model PretrainingClosed-Loop Reliability

  22. Stochastic Gradient Optimization with Model-Assisted Sampling

    Jun 25, 2026Jonne Pohjankukka, Jukka HeikkonenStochastic Gradient DescentMini-Batch Stochastic Gradient Descent

  23. Stabilizing black-box algorithms through task-oriented randomization

    Jun 24, 2026Yali Wang, Zhaojun WangRandomBlack Box

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

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

  25. AdaPrivate-TS: Private Thompson Sampling for Contextual Bandits with Privacy Amplification

    Jun 19, 2026Mohammadreza Riyazat, Eranga UkwattaLinear Contextual BanditsThompson Sampling

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

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

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

    Jun 15, 2026Amr Mohamed, Guokan Shang, Michalis VazirgiannisDiffusion Language ModelsAdaptive Sampling

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

    Jun 11, 2026Tsz Lok Ip, Han Zhang, Lok Ming LuiReceptive FieldsConvolutional Neural Networks

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

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

  30. Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals

    Jun 6, 2026Lingkai Kong, Hezi Jiang, Andrew Ma +3Adaptive SamplingCovariate Shift

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

    Jun 4, 2026Anshima Singh, David J. SilvesterPartial Differential EquationsClassical Numerical Solver

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

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

  33. 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

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

    May 29, 2026Myeongjun Oh, Gwangho Kim, Sungyoon LeeTraining-Free Reward AlignmentAdaptive Sampling

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

    May 23, 2026Andrej Risteski, Thuy-Duong VuongTwo-Dimensional Ising ModelPhase Transitions

  36. Active Context Selection Improves Simple Regret in Contextual Bandits

    May 19, 2026Mohammad Shahverdikondori, Jalal Etesami, Negar KiyavashOptimal Bandit AlgorithmsLinear Regret

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

    May 18, 2026Baoteng Li, Xianghao Zang, Xinran Wang +8Group Relative Policy OptimizationAdaptive Sampling

  38. Beyond What to Select: A Plug-and-play Oscillatory Data-Volume Scheduling for Efficient Model Training

    May 14, 2026Suorong Yang, Hanqi Zhu, Hai Gan +4Adaptive SamplingRegularization Techniques

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

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

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

    May 13, 2026Rafael OliveiraBayesian OptimizationBayesian

  41. AdaFocus: Adaptive Relevance-Diversity Sampling with Zero-Cache Look-back for Efficient Long Video Understanding

    May 13, 2026Xiao Yang, Yingzhe Ma, Haoxuan Yu +2Video UnderstandingLongvideobench

  42. AIS: Adaptive Importance Sampling for Quantized RL

    May 13, 2026Jiajun Zhou, Wei Shao, Lingchao Zheng +2Adaptive SamplingPolicy Gradient

  43. CADS: Conformal Adaptive Decision System for Cost-Efficient Image Classification

    May 12, 2026Mikael Turkoglu, Tim Bary, Vincent Thielens +2Artificial Intelligence ModelsAdaptive Sampling

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

    May 10, 2026Huitao Yang, Hengzhi He, Guang ChengTraining Data AttributionAdaptive Sampling

  45. Beyond Static Bias: Adaptive Multi-Fidelity Bandits with Improving Proxies

    May 8, 2026Muyun Lu, Haoyang Hong, Huazheng Wang +1Multi-Armed BanditsGeneralized Linear Bandit

  46. Actor-Critic with Active Importance Sampling

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

  47. DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments

    May 7, 2026Kateryna Husar, Alexander VolfovskyBayesian Experimental DesignCovariate Shift

  48. 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 LearningSingle-Cell Rna Sequencing

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

    May 4, 2026Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara JavidiNeural Video CodecsUltra-Low Bitrates

  50. Information-geometric adaptive sampling for graph diffusion

    Apr 30, 2026Yuhui Lu, Wenjing Liu, Kun ZhanDiffusion SamplingAdaptive Sampling

  51. Rendering-Aware Sparse Sampling for BRDF Acquisition

    Apr 29, 2026W. Cao, D. Jönsson, Z. Huang +1Adaptive Sampling

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

    Apr 21, 2026Johannes Schusterbauer, Ming Gui, Yusong Li +3Large-Scale Image GenerationImage Generation

  53. What If We Allocate Test-Time Compute Adaptively?

    Feb 1, 2026Ahsan Bilal, Ahmed Mohsin, Muhammad Umer +4Test-Time ScalingEfficient Inference

  54. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections

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

  55. FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks

    Apr 9, 2025Or Feldman, Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb +2Temporal Graph Neural NetworksZero-Shot Link Prediction

  56. Equity Promotion in Online Resource Allocation

    Dec 8, 2021Pan Xu, Yifan XuVaccination Opinion DynamicsAdaptive Sampling