Subsampling

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology

    Oct 4, 2026Mattéo Clémot, Julie Digne, Julien TiernyPersistent HomologyHigh-Dimensional

    Université Lyon 1 · CNRS, Université Lyon 1 · CNRS, Sorbonne Université

  2. Effects of model architecture and learning strategies on deep learning-based recognition of activated sludge microscopic images and comparison with quantitative image analysis

    Sep 8, 2026Suguru Hakoshima, Tomohiro Tobino, Fumiyuki NakajimaMicroscopyDeep Learning Architectures

    Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan · Environmental Science Center, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, 113-0033, Tokyo, Japan · Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, 113-8657, Tokyo, Japan

  3. Stride-k Subsampling: Train-Free Audio Token Reduction for Whisper

    Aug 31, 2026Chanhee Cho, Junhyuk Choi, Bugeun KimAudio TokenizersSubsampling

    Department of Artificial Intelligence Chung-Ang University, Seoul, Republic of Korea

  4. Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge

    Aug 7, 2026Niclas Meyer, Stefan ReitmannLight Detection And Ranging Point CloudsPoint Clouds

    1Chemnitz University of Technology

  5. Feature Bagging Provides Stability

    Jul 29, 2026Yuheng Ma, Qiang SunTree EnsemblesRandom Forest

    School of Statistics, East China Normal University · University of Toronto · MBZUAI

  6. Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs

    Jul 24, 2026Zhangzhi Xiong, Minzhang Li, Haotian Yu +6Protein Structure PredictionFeature Alignment

    School of Information Science and Technology, ShanghaiTech University

  7. Prior-aware and Context-guided Group Sampling for Active Probabilistic Subsampling

    Jul 8, 2026Beomgu Kang, Hyunseok SeoSubsamplingPrior Knowledge Integration

    Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

  8. Convergence Analysis of Nyström Subsampling in Covariate Shift Adaptation for Misspecified case

    Jun 20, 2026Hanna Myleiko, Sergei Solodky, Vasyl SemenovCovariate ShiftDomain Adaptation

    Institute of Mathematics NAS of Ukraine, 3 Tereschenkivska st., Kyiv, Ukraine. · Institute of Mathematics NAS of Ukraine, 3 Tereschenkivska st., Kyiv, Ukraine · University of Giessen, Department of Mathematics, Giessen, Germany. +1

  9. Subsampling for supervised learning in reproducing kernel Hilbert spaces

    Jun 19, 2026Eyal Vayness, Maxime SangnierReproducing Kernel Hilbert SpacesKernel Hilbert Spaces

    Sorbonne Universit´e, LPSM, Paris, France

  10. Spokes: Optimizing for Diverse Pretraining Data Selection

    Jun 13, 2026Clarence Lee, Yejin Choi, Luke Zettlemoyer +2Alignment-Aware SelectionSubsampling

    DSO National Laboratories · Stanford University · University of Washington

  11. Variational Network with Wavelet-based UNET in Accelerated MRI Reconstruction from Under Sampled K-space Data

    Jun 13, 2026Yasir Arafat Prodhan, Shaikh Anowarul FattahMagnetic Resonance Imaging ReconstructionMagnetic Resonance Imaging

    Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.

  12. FlexPooling with Simple Auxiliary Classifiers in Deep Networks

    Jun 12, 2026Muhammad Ali, Omar Alsuwaidi, Salman KhanGlobal Average PoolingConvolutional Neural Networks

    Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence · Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

  13. Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling

    Jun 9, 2026Guodong Lin, Ziqi Chen, Yuxiang Fu +2End-To-End Automatic Speech Recognition ModelsAutomatic Speech Recognition

    Department of Electronic Engineering, Tsinghua University, Beijing, China · Beijing Haitian Ruisheng Science Technology Ltd., China

  14. CART Random Forests as Sequential Allocation over Random Opportunity Sets: A Stochastic-Control Theory of Ensemble Risk

    May 26, 2026Tianxing Mei, Yingying Fan, Mingming Leng +1Random ForestTarget Risk

    Faculty of Business, Lingnan University · Data Sciences and Operations Department, University of Southern California

  15. Efficient Benchmarking Is Just Feature Selection and Multiple Regression

    May 25, 2026Sam Bowyer, Acyr Locatelli, Kris CaoLarge Language Model BenchmarksRelevance

    Cohere, University of Bristol · Work done during an internship at Cohere. · Cohere

  16. Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications

    May 22, 2026Roman Pavelkin, Luis A. Zavala-Mondragon, Christiaan G. A. Viviers +1Generative Flow NetworksSubsampling

    Eindhoven University of Technology, Eindhoven

  17. HyperBench: Standardizing and Scaling Synthetic Evaluation for Hyperspectral Super-Resolution

    May 20, 2026Ritik Shah, Marco F. DuarteHyperspectral Image Super-ResolutionSignal Reconstruction

    University of Massachusetts Amherst, MA 01003

  18. Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention

    May 19, 2026Wenhu Zhang, Yiming Wu, Huanyu Wang +6Dynamic Sparse AttentionDiffusion Language Models

    The Hong Kong University of Science and Technology · The University of Hong Kong · Zhejiang University +1

  19. Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization

    May 15, 2026Xiaoxuan He, Siming Fu, Zeyue Xue +9Video Diffusion ModelsDiffusion Alignment

    Zhejiang University · Joy Future Academy · Independent Researcher +1

  20. Stochastic global optimization of continuous functions via random walks on Grassmannians

    May 13, 2026Kartik Gupta, Stephen D. Miller, Pradeep Ravikumar +1Stochastic OptimizationFlat Minima

  21. State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives

    May 13, 2026Hoang-Son Tran, Pranav Gupta, Rémi Bardenet +1Determinantal Point ProcessSubsampling

    Department of Mathematics National University of Singapore · Univ. Lille, CNRS, Centrale Lille UMR 9189 – CRIStAL

  22. On What We Can Learn from Low-Resolution Data

    May 12, 2026Theresa Dahl Frehr, Niels Henrik Pontoppidan, Hiba Nassar +1Low-ResolutionReal-World Dataset

    1Technical University of Denmark · 2Eriksholm Research Center

  23. Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD?

    May 8, 2026Andy Dong, Ayfer ÖzgürSubsamplingStochastic Gradient Descent

    Stanford University

  24. Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds

    May 7, 2026Marten van Dijk, Murat Bilgehan ErtanStandard Differential-PrivacyStochastic Gradient Descent

    CWI Amsterdam · ∗Affiliated with Vrije Universiteit Amsterdam.

  25. Nearly Optimal Subdata Selection

    Apr 27, 2026Min Yang, Wei Zheng, John Stufken +3Optimal DesignSubmodular Functions

    Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago · Department of Business Analytics and Statistics, University of Tennessee · Department of Statistics, George Mason University[stat.ME] +3

  26. The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

    Apr 23, 2026Kai Liu, Haoyang Yue, Zeli Lin +65Hyperspectral Image Super-ResolutionInfrared

  27. Adaptive Weighted h-Transform Sampling for Coarse-Guided Visual Generation

    Mar 12, 2026Yanghao Wang, Ziqi Jiang, Zhen Wang +1Diffusion SamplingVisual Generation

    The Hong Kong University of Science and Technology

  28. Efficient privacy loss accounting for subsampling and random allocation

    Feb 19, 2026Vitaly Feldman, Moshe ShenfeldStandard Differential-PrivacySubsampling

    Apple · The Hebrew University of Jerusalem · *Work partially done while author was an intern at Apple.

  29. Beyond Pixels: Exploring DOM Downsampling for LLM-Based Web Agents

    Aug 6, 2025Thassilo M. Schiepanski, Nicholas PiëlWeb AgentsSnapshots

    Surfly BV

  30. A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input

    May 20, 2025Bar Mahpud, Or SheffetΔ)$-Differential PrivacySubsampling

    Faculty of Engineering Bar-Ilan University Israel

  31. Adaptive and oblivious statistical adversaries are equivalent

    Oct 17, 2024Guy Blanc, Gregory ValiantBounded AdversaryOptimal Sample Complexity

    Stanford

  32. Graph Unfolding and Sampling for Transitory Video Keyframe Selection via Gershgorin Disc Alignment

    Aug 3, 2024Sadid Sahami, Gene Cheung, Chia-Wen LinKeyframe SelectionVideo Dataset

    Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan · York University, Toronto, Canada · Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan