Density Estimation

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8 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

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  1. Symbolic Density Estimators for Unnormalized Distributions

    Oct 7, 2026Vikas Kanaujia, Riyansha Singh, Shashank Sharma +1Density EstimationSymbolic Regression

    Department of Electrical Engineering IIT Kanpur · Department of Computer Science and Engineering IIT Kanpur · Department of Physics IIT Kanpur +1

  2. Gaussian Density Splatting Network

    Oct 7, 2026Miao Shang, Yabin Wang, Xiaopeng HongCrowd CountingDensity Estimation

    Faculty of Computing Harbin Institute of Technology

  3. The Silhouette Operator: Identifiability of Low-Rank Measures from One-Dimensional Projections

    Oct 7, 2026Robert A. VandermeulenDensity Estimation

  4. Scalable Logistic Gaussian Process Density Regression with Kinetic Langevin Sampling

    Oct 7, 2026Daniel Paulin, Ádám Jung, András A. BenczúrConditional Distribution EstimationDensity Estimation

    Nanyang Technological University · Eötvös Lor´and University (ELTE) HUN-REN Institute for Computer Science and Control (SZTAKI)

  5. Uniform Discrete Diffusion Models are Minimax Optimal for Estimating Distributions with Small Effective Support Size

    Oct 6, 2026Dongsun Yoon, Saptarshi ChakrabortyMinimax EstimationStatistical Learning Theory

    Department of Statistics, University of Michigan

  6. Polylogarithmic Sparsity of Randomly Reweighted NPMLEs for Gaussian Mixtures

    Oct 1, 2026Hansheng JiangGaussian Mixture ModelsDensity Estimation

    University of Toronto

  7. BayesNDE: Bayesian Generative Modeling for Neural Density Estimation

    Sep 30, 2026Chenglin Li, Qiao LiuGenerative ModelingDensity Estimation

    Department of Biostatistics, Yale University New Haven, Connecticut, USA

  8. VesselBench-800K: A Large-scale Perception Benchmark for Multimodal Vessel Detection, Counting, and Density Estimation

    Sep 29, 2026Danfeng Hong, Chenyu Li, Jocelyn ChanussotObject CountingRemote Sensing

    School of Automation, Southeast University, Nanjing 211189, China · Univ. Grenoble Alpes, INRAE, LESSEM, 38000 Grenoble, France · Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble 38000, France

  9. From Data to Program: Fast & Direct Generative Program Inference from Empirical Data

    Sep 28, 2026Simon Klüttermann, Xueying Ding, Leman AkogluProgram SynthesisSynthetic Tabular Data Generation

    Carnegie Mellon University

  10. Discrete Diffusion Models via Evolving Variational Autoregressive Networks

    Sep 23, 2026Kewen Pan, Ying TangDiffusion SamplingDensity Estimation

    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China · Key Laboratory of Quantum Physics and Photonic Quantum Information, Ministry of Education, University of Electronic Science and Technology of China, Chengdu 611731, China +1

  11. SAFe: Segment-guided Aggregation of Feature Densities for Anomaly-aware Segmentation

    Sep 21, 2026Anja Delić, Jurica Runtas, Marin Oršić +2Anomaly LocalizationDensity Estimation

    University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Zagreb, Croatia

  12. A Splitting Method for SDE Terminal-Law Estimation

    Sep 14, 2026Rushil Gupta, Sandeep JunejaStochastic Differential EquationsDiffusion Model Sampling

    Safexpress Centre for Data, Learning and Decision Sciences Ashoka University

  13. Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3

    Sep 8, 2026Indranil Das, Adam Kamoski, Dora Demiri +3Density Estimation

    Department of Physics University of Massachusetts Boston NSF Institute for AI and Fundamental Interactions · Lebedev Physical Institute Russian Academy of Sciences Moscow 119991, Russia

  14. Source Distribution Estimation by Posterior Averaging

    Sep 2, 2026Trung-Dung Hoang, Lisa M. KochSimulation-Based InferenceDensity Estimation

    Department of Digital Medicine, University of Bern, Switzerland · Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism UDEM, Inselspital, Bern University Hospital, University of Bern, Switzerland · Graduate School for Cellular and Biomedical Sciences (GCB), University of Bern, Switzerland +1

  15. Minimax bounds for watermarked and masked recursive discrete distribution estimation

    Aug 31, 2026Millen Kanabar, Michael GastparDataset WatermarkingMinimax Estimation

    School of Computer and Communication Sciences, EPFL, Switzerland

  16. Wasserstein Filtering: A Sample Selection Method for Robust Distribution Learning

    Aug 13, 2026Yikai Xu, Zhao Chen, Jian HuangUnsupervised Anomaly DetectionDensity Estimation

    Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China. · School of Data Science, Fudan University, Shanghai, China. · Department of Data Science and Artificial Intelligence, and Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.

  17. In-Context Density Estimation for Tabular Data

    Aug 10, 2026Patryk Marszałek, Jacek Tabor, Marek ŚmiejaEnergy-Based ModelsUnsupervised Anomaly Detection

    Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland

  18. Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes

    Jul 29, 2026Lennon J. Shikhman, Michael Galarnyk, Aadi Dash +1Quantitative FinanceDeep Operator Networks

    School of Computer Science Georgia Institute of Technology USA

  19. Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions

    Jul 29, 2026Shuo-Chieh Huang, Chien-Ming Chi, Jau-er ChenBayesian NetworksDensity Estimation

    Department of Statistics, Rutgers University, Piscataway, NJ, U.S.A. · Institute of Statistical Science, Academia Sinica, Taipei, Taiwan · School of Political Science and Economics, National Taiwan University, Taipei, Taiwan

  20. Localized Anomaly Detection via Differentiable D-vine Copulas

    Jul 27, 2026Nicholas Andrea Pearson, Francesca Zanello, Davide Russo +2Anomaly LocalizationDensity Estimation

    University of Trieste, Trieste, Italy · Idrostudi srl, Trieste, Italy

  21. The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model

    Jul 15, 2026Zijie Yu, Gaowen Liu, Ramana Rao Kompella +2Latent Variable ModelsHyperspherical Representation Learning

    Tsinghua University · Cisco Research · University of Illinois Chicago

  22. CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification

    Jul 10, 2026Jiaming Liang, Haolin Chen, Tingting Li +7Medical Image ClassificationMedical Image Representation Learning

    School of Computer Science and Engineering South China University of Technology Guangzhou, China · School of Future Technology South China University of Technology Guangzhou, China · Department of Medical Imaging Affiliated Cancer Hospital, Guangzhou Medical University Guangzhou, China

  23. Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation

    Jul 8, 2026Andrea Basteri, Carlo Ciliberto, Alessandro RudiIncomplete Data ImputationKernel Density Estimation

    Inria - Ecole Normale Supériore · Department of Computer Science - UCL · SDA Bocconi School of Management

  24. Dual Distribution Estimation for Zero-shot Noisy Test-Time Adaptation with VLMs

    Jun 24, 2026Wenjie Zhu, Yabin Zhang, Liang Xu +3Test-Time AdaptationVLM Adaptation

    The Hong Kong Polytechnic University · Harbin Institute of Technology (Shenzhen) · Shanghai Jiao Tong University +1

  25. Multi-Modal Hyper-Graph Fusion for Low-Light Crowd Counting

    Jun 17, 2026Hao-Yuan Ma, Li Zhang, Yushi Qiu +3Crowd CountingDeformable Attention

    School of Computer Science and Technology, Soochow University, Suzhou, China

  26. Pix2Pix-Hybrid: Structure-Guided Conditional Synthesis of Hajj Crowd Images with Multi-Channel Conditioning and Weak Attribute Supervision

    Jun 12, 2026Amirah F. Alshammari, Bander A. Alzahrani, Nahed A. AlowidiSynthetic Data AugmentationConditional Image Generation

    Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia · Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

  27. Overhead Wildlife Locator (OWL): Benchmarking Weakly Supervised Learning for Aerial Wildlife Surveys

    Jun 11, 2026Isai Daniel Chacón, Zhongqi Miao, Bruno Demuro +9Remote Sensing Image UnderstandingWeakly Supervised Learning

    Microsoft AI for Good Lab, Redmond, WA, USA · Center for Research and Formation in Artificial Intelligence (Cinfonia), Universidad de los Andes, Bogotá, Colombia · Conservation X Labs, Washington, D.C., USA +3

  28. Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more

    Jun 9, 2026Spencer Compton, Jerry LiGaussian Mixture ModelsDensity Estimation

    Stanford University · University of Washington

  29. Generative Models and Statistical Validation

    May 28, 2026Sascha Diefenbacher, Sofia Palacios Schweitzer, Gregor KasieczkaGenerative ModelingDensity Estimation

    Institut für Theoretische Physik, Universität Heidelberg, Germany · Physics Division, Lawrence Berkeley National Laboratory, Berkeley, USA · NHETC, Department of Physics & Astronomy, Rutgers University, Piscataway, NJ, USA +1

  30. Geometry Adaptive Counterfactual Distribution Learning with Diffusion-Guided Smoothing

    May 25, 2026Kwangho KimSemiparametric InferenceCausal Inference

    Department of Statistics, Korea University