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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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  1. Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse

    Sep 29, 2026Annabelle K. L. Chua, Forster J. Khoo, Joel C. R. Tan +8Hate Speech DetectionHate Speech

    DSO National Laboratories, 14 Science Park 118226, Singapore · Defence Science and Technology Agency, 1 Depot Road 109679, Singapore

  2. Bracketing Uncertainty in Clustering Under the Manifold Hypothesis

    Sep 15, 2026Savik Kinger, Luciano Dyballa, Steven W. ZuckerClusteringCluster

    Department of Computer Science Yale University · School of Science & Technology IE University · Depts. of Computer Science and Biomedical Engineering Wu Tsai Institute Yale University

  3. Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data

    Sep 14, 2026Heranga K. Rathnasekara, Norou Diawara, Manar D. SamadCausal Discovery MethodsCausal Graph

    Department of Mathematics and Statistics Old Dominion University, Norfolk, VA 23529, USA · Department of Computer Science North Carolina Agricultural and Technical State University Greensboro, NC 27411, USA

  4. Interpreting hierarchical organisation of speaker embeddings

    Sep 14, 2026Yanze Xu, Wenwu Wang, Mark D. PlumbleySpeakerCluster

    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK · Department of Informatics, King’s College London, London, UK

  5. Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

    Sep 11, 2026Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1ClusteringCluster

    School of Computer and Communication Sciences ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL) Lausanne, 1015, Switzerland · LAMA, UMR-CNRS 8050, Universit´e Gustave Eiffel 5 Bd Descartes, 77454 Marne-la-Vall´ee, France

  6. Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster

    Aug 31, 2026Songtao Fang, Zihao Xu, Shaowei Wei +2Text EmbeddingsCodebooks

    Alibaba Group HangZhou, CHINA

  7. Stochastic complexity of vectors containing cluster structure

    Aug 31, 2026Daniel Nicorici, Olli Yli-Harja, Jaakko AstolaClusterMaximum Likelihood

    Medicel Oy, Keilaranta 12, FIN-02150 Espoo, Finland · Institute of Signal Processing, Tampere University of Technology P.O. Box 553, FIN-33101 Tampere, Finland

  8. Clustered Randomized Smoothing for Stochastic Prediction Functions

    Aug 12, 2026Eduardo Figueiredo, Frederik Mathiesen, Julian Schumann +3SmoothingStochastic

    Delft Center for Systems and Control, Delft University of Technology · Cognitive Robotics, Delft University of Technology · University of Stuttgart +1

  9. GRACE: LLM-Grounded Semantic Metric Spaces for Scalable Mixed-Data Clustering

    Aug 8, 2026Zihua Yang, Zhencheng Xie, Junyang Chen +4ClusteringCluster

    Guangdong University of Technology · Tsinghua University · Peking University +2

  10. Using large language models to probe the limits of atom-centered structural descriptors

    Jul 29, 2026Michelangelo Domina, Michele CeriottiAtomsMolecular Property Prediction

    Laboratory of Computational Science and Modeling, Institut des Matériaux, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland

  11. A Reinforcement-Learning-Augmented Liquid-Fueled Reactor Network Model for Predicting Lean Blowout in Gas Turbine Combustors

    Jul 21, 2026Philip John, Eloghosa Ikponmwoba, Pinaki Pal +1Gas Turbine CombustorNuclear Fusion

    Department of Mechanical and Industrial Engineering Louisiana State University, Baton Rouge, LA 70803, USA · 2Transportation and Power Systems Division Argonne National Laboratory, 9700 S. Cass Ave, Lemont, IL 60439, USA

  12. Cluster-Aware Matching via Laplacian Optimal Transport

    Jul 17, 2026Gabriel Samberg, YoonHaeng Hur, Yuehaw Khoo +1Point Cloud RegistrationDifferentiable Optimal Transport

    Department of Applied Mathematics, Tel Aviv University · Department of Statistics, Columbia University · Department of Statistics, University of Chicago

  13. Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models

    Jul 16, 2026Ünsal Öztürk, Sébastien MarcelFace Recognition ModelSpherical Latent Space

    Idiap Research Institute, Martigny, Switzerland · Universit´e de Lausanne (UNIL), Lausanne, Switzerland

  14. Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning

    Jul 15, 2026Teng Li, Hanfei Shi, Chunjiang Zhao +1Agricultural RoboticsObstacle Avoidance

    The Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China. · School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China. · Happy Elements Ltd., Beijing 100094, China.

  15. Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering

    Jul 12, 2026Zhihao Yao, Yuxuan Gu, Jixuan Yin +1ClusteringCluster

    Harbin Engineering University, China · Harbin Institute of Technology, China

  16. Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis

    Jul 9, 2026Kristina Schaaff, Quintus Stierstorfer, Valerie HekkelAi-BasedSynagent

    IU International University of Applied Sciences, Erfurt, Germany.

  17. Structure Learning on Clustered Data

    Jul 9, 2026Ryan Thompson, Matt P. Wand, Veerabhadran BaladandayuthapaniClusterClustering

    School of Mathematical and Physical Sciences University of Technology Sydney Ultimo, NSW 2007, Australia · Department of Biostatistics University of Michigan Ann Arbor, MI 48105, USA

  18. Statistical Properties of kk-means Clustering for Data Missing Completely at Random

    Jul 2, 2026Xin GuanK-MeansClustering

    Graduate School of Information Sciences Tohoku University Sendai, Miyagi 980-8579, Japan

  19. Structural Pattern Mining in Inka Khipus: Unsupervised Clustering, Provenance Classification, and a Computational Validation of the Santa Valley Match

    Jun 30, 2026Maria ContrerasHistorical ManuscriptsProvenance

    Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Peru

  20. MNAR-kk-means: A kk-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probability

    Jun 30, 2026Xin GuanK-MeansImputation

    Graduate School of Information Sciences Tohoku University Sendai, Miyagi 980-8579, Japan

  21. Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based Scripts

    Jun 29, 2026Chunhui Bai, Changhe Li, Dequan Li +2Hierarchical Reinforcement LearningReinforcement Learning Baseline

    School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan 430074, China · State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Anhui University of Science & Technology, Huainan 232001, China · School of Artificial Intelligence, Anhui University of Science & Technology, Hefei 231131, China +1

  22. Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving

    Jun 25, 2026Yasmin Moslem, Magdalena Kacmajor, Vasudevan Nedumpozhimana +11Cluster

    1ADAPT Centre, Trinity College Dublin · 2Huawei Research

  23. Cohort Organized Learning: Clustering Through Agreement

    Jun 19, 2026Finn Henry O'Shea, Maria Elena MonzaniClusterExpectation-Maximization

    SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025-7015, USA · Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305-4085 USA

  24. A new classification method based on Minimum Spanning Trees

    Jun 19, 2026Julio González-Díaz, Beatriz Pateiro-López, Iria Rodríguez-AcevedoClusteringCluster

    Department of Statistics, Mathematical Analysis and Optimization and MODESTYA Research Group, University of Santiago de Compostela, Santiago de Compostela, 15782, Galicia, Spain · CITMAga (Galician Center for Mathematical Research and Technology), University of Santiago de Compostela, Santiago de Compostela, 15782, Galicia, Spain

  25. FOSC-X: An Extended Framework for Optimal Local Cuts and Non-Horizontal Cluster Selection from Clustering Hierarchies

    Jun 17, 2026Connor Simpson, Ricardo J. G. B. CampelloClusteringCluster

    Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.

  26. Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection

    Jun 17, 2026Nassir MohammadClusteringInterpretable Anomaly Detection

    Cyber Innovation Lab, Airbus, Newport, UK

  27. Cluster LOCO: Feature Importance For Interpreting Clusters

    Jun 12, 2026Claire M. He, Genevera I. AllenFeature ImportanceClustering

    Department of Statistics · Columbia University · New York, NY 10027, USA

  28. Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA

    Jun 6, 2026Andreas SchlapbachPrincipal Component AnalysisK-Means

    Swiss Federal Railways (SBB), Switzerland

  29. Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation

    Jun 5, 2026Mohammadreza Sadeghi, Sareh Soleimani, Zihan Wang +1Replay-Based Continual LearningClustering

    Department of Electrical and Computer Engineering, McGill University, Montreal, QC H3A 0E9, Canada · Mila – Quebec AI Institute, Montreal, QC H2S 3H1, Canada

  30. Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters

    Jun 5, 2026Lubna Mahmoud Abu Zohair, Hind ZantoutExplainabilityAlzheimer

    Heriot-Watt University, Dubai, United Arab Emirates

  31. Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers

    Jun 4, 2026Su Wang, Mung Chiang, H. Vincent PoorFederated LearningHeterogeneity

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA · Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

  32. Hub-Aware Hybrid Search: Accelerating the Locally Aligned Ant Technique

    Jun 4, 2026Simone Vilardi, Reynier Peletier, Felipe Contreras +1Astronomical ImagesSearch Algorithms

    University of Groningen - Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence · University of Groningen - Kapteyn Astronomical Institute · Instituto de F´ısica y Astronom´ıa, Universidad de Valpara´ıso

  33. Revisiting Lexicon Evaluation in Unsupervised Word Discovery

    Jun 4, 2026Simon Malan, Danel Slabbert, Herman KamperLinguisticsUnsupervised

    Electrical and Electronic Engineering Stellenbosch University, South Africa

  34. Central Description Length (CDL) Clustering Validation Index

    Jun 2, 2026Mahdi Shamsi, Soosan BeheshtiClusteringCluster

    Toronto Metropolitan University, 350 Victoria St., Toronto, Ontario M5B 2K3, Canada

  35. Cluster Analysis with Resampling for Validation and Exploration (CARVE)

    May 29, 2026Kai R. Wycik, Tiffany M. Tang, Tarek M. Zikry +1ClusteringCluster

    Department of Statistics, Columbia University, New York, NY, USA · Center for Theoretical Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA · Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA +2

  36. ERICA: Quantifying Replicability of Cluster Analysis

    May 29, 2026Siamak K. Sorooshyari, Manuel A. Rivas, Robert TibshiraniClusteringCluster

    Department of Statistics Stanford University Stanford, CA 94305, USA · Department of Biomedical Data Science Stanford University Stanford, CA 94305, USA · Department of Statistics and Biomedical Data Science Stanford University Stanford, CA 94305, USA

  37. Mathematical Morphology in Machine Learning

    May 29, 2026Erick Oliveira Rodrigues, Aura ConciClusteringCluster

    ®Universidade Federal Fluminense

  38. The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure

    May 27, 2026Yubo Li, Ramayya Krishnan, Rema PadmanLarge Reasoning ModelsAnswer

    Carnegie Mellon University

  39. OnceSelect: Reusable Data Selection for Efficient Multimodal Instruction Tuning

    May 26, 2026Mingkang Dong, Muxin Pu, Hongyi Cai +5Multimodal Continual Instruction TuningCluster

    Faculty of Computer Science Universiti Malaya Kuala Lumpur, Malaysia · School of Information Technology Monash University Malaysia Subang Jaya, Selangor, Malaysia · Faculty of Computer Science University of Science and Technology Beijing Beijing, China

  40. Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning

    May 12, 2026Huiyu Yi, Zhiming Xu, Dunwei Tu +3Class-Incremental LearningNeural Collapse

    National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China · School of Artificial Intelligence, Nanjing University, Nanjing, China · School of Computer Science, Nanjing University, Nanjing, China

  41. Measuring and Decomposing Mode Separation via the Canonical Diffusion

    May 9, 2026Shaul Tolkovsky, Ori Meidler, Or ZukDispersionDynamic Mode Decomposition

    Department of Statistics and Data Science Hebrew University of Jerusalem

  42. Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training

    Apr 30, 2026Mingliang Liang, Zhuoran Liu, Arjen P. de Vries +1Recent Vision-Language ModelsCluster

    Institute for Computing and Information Sciences, Radboud University, Nijmegen, the Netherlands · University of Amsterdam, Amsterdam, the Netherlands · Radboud University

  43. Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters

    Apr 27, 2026Takato YasunoMixture ModelsVariational Inference

    Digital Business Department, Yachiyo Engineering Co., Ltd.

  44. Identifiability and Stability of Generative Drifting with Companion-Elliptic Kernel Families

    Apr 27, 2026HakGeun Lee, Hyonho ChunIdentifiabilityWasserstein Gradient Flows

    Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

  45. Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

    Apr 25, 2026Yanze Xu, Wenwu Wang, Mark D. PlumbleySpeakerCluster

    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK · Department of Informatics, King’s College London, London, WC2R 2LS, UK

  46. Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States

    Apr 24, 2026Lívia Meinhardt, Dário OliveiraClimateClustering

    FGV EMAp

  47. How Hard Is Continuous Clustering? Lower Bounds from the Existential Theory of the Reals

    Apr 24, 2026Angshul MajumdarClusteringCluster

    IIIT Delhi

  48. From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables

    Apr 24, 2026Zongyu LiCausal Discovery MethodsCausal Inferences

  49. Learning to count small and clustered objects with application to bacterial colonies

    Apr 21, 2026Minghua Zheng, Na Helian, Peter C. R. Lane +2Bacterial Colony CountingMicroscopy

    King’s College London, St Thomas Street, London, SE1 1UL, United Kingdom · University of Hertfordshire, College Lane, Hatfield, AL10 9AB, United Kingdom · Synoptics Ltd, Beacon House, Nuffield Road, Cambridge, CB4 1TF, United Kingdom

  50. Preserving Clusters in Error-Bounded Lossy Compression of Particle Data

    Apr 20, 2026Congrong Ren, Sheng Di, Katrin Heitmann +2ClusteringCluster

    The Ohio State University · Argonne National Laboratory

  51. Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables

    Feb 27, 2026Yoichi ChikaharaAlgorithmic FairnessCausal Graph

    NTT Communication Science Laboratories, Kyoto, Japan

  52. Incremental (k, z)-Clustering on Graphs

    Feb 9, 2026Emilio Cruciani, Sebastian Forster, Antonis SkarlatosClusteringCluster

    European University of Rome, Italy. · Department of Computer Science, University of Salzburg, Salzburg, Austria. · Department of Computer Science, University of Warwick, Coventry, England.

  53. BalLOT: Balanced kk-means clustering with optimal transport

    Dec 5, 2025Wenyan Luo, Dustin G. MixonK-MeansOptimal Transport Approach

    Department of Mathematics, The Ohio State University, Columbus, Ohio, USA · Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA

  54. Scalable unsupervised feature selection via weight stability

    Jun 6, 2025Xudong Zhang, Renato Cordeiro de AmorimFeature SelectionK-Means

    School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe, UK.

  55. Subtyping patients with chronic disease using longitudinal BMI patterns

    Nov 9, 2021Md Mozaharul Mottalib, Jessica C Jones-Smith, Bethany Sheridan +1ClusterPatients

  56. Policy design in experiments with unknown interference

    Nov 16, 2020Davide Viviano, Jess RudderBayesian Experimental DesignWelfare

    Department of Economics, Harvard University, 1805 Cambridge St, Cambridge, MA 02138. · Department of Economics, Oregon State University, 1500 SW Jefferson Way, Corvallis, OR 97331.