Dimensionality Reduction

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

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  1. Gestalt: a meta-foundation model for astronomy

    Sep 29, 2026Michael J. Smith, Shashwat SouravAstronomical ImagesDimensionality Reduction

    AstroAI · Center for Astrophysics | Harvard & Smithsonian · UniverseTBD +1

  2. Interrelating Fruchterman-Reingold Graph Visualization and Agglomerative Clustering

    Sep 28, 2026Alexandre Benatti, Luciano da F. CostaClusteringGraph Representations

    Institute of Mathematics and Statistics - DCC University of S˜ao Paulo Rua do Mat˜ao, 1010, S˜ao Paulo, SP 05508-090 Brazil · S˜ao Carlos Institute of Physics - DFCM University of S˜ao Paulo Av. Trabalhador S˜ao-Carlense, 400, S˜ao Carlos, SP 13566-590 Brazil

  3. Sufficiently Reduced Distributional Regression

    Sep 24, 2026Alexander Henzi, Tiange Liu, Xinwei ShenDimensionality ReductionExponential Family

    Tsinghua University, Department of Statistics and Data Science · University of Washington

  4. Belted Engression: Sufficient Dimension Reduction for Generative Distributional Regression

    Sep 20, 2026Wenxi Tan, Bing Li, Lingzhou XueGenerative ModelsKullback-Leibler Regularization

    Department of Statistics, The Pennsylvania State University

  5. Online Supervised Dimension Reduction with Random Features: Diagnostics and Computational Trade-offs

    Sep 17, 2026Zhenlin Yao, Wei XiongPrincipal Component AnalysisSubspace

    School of Statistics University of International Business and Economics Beijing, China

  6. Dimensionality Reduction for Hyperspectral Image Classification

    Sep 9, 2026Mohamed Cherifi, Ammar Mesloub, Mohammed Nabil El Korso +2Hyperspectral ImageDimensionality Reduction

    Laboratoire Traitement du Signal Ecole Militaire Polytechnique Bordj-El-Bahri, Alger, 16111, Alg´erie · Laboratoire Antennes et Dispositifs Micro-Ondes Ecole Militaire Polytechnique Bordj-El-Bahri, Alger, 16111, Alg´erie · Universit´e Paris-Saclay Saclay, France +1

  7. Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction

    Aug 30, 2026Louen Pottier, Louis Lesueur, Anders ThorinAutoencoder ArchitecturesDimensionality Reduction

    CEA List, Université Paris-Saclay · Palaiseau, F-91120, France · LMS, École Polytechnique, Institut Polytechnique de Paris +1

  8. CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data

    Aug 11, 2026Fenosoa Randrianjatovo, Maya Saleh, Simon Girard +1Dimensionality ReductionSingle-Cell Rna

    Institut national de la recherche scientifique (INRS) · Centre Armand-Frappier Santé Biotechnologie (INRS-AFSB) · Unité mixte de recherche en santé durable (UMR INRS–UQAC) +1

  9. A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods

    Aug 10, 2026Leandro de Souza Rosa, Lorenzo Capelli, Clara Nunes Barrancos +2Final Convolutional LayersOut-Of-Distribution Detection

    Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi” (DEI) - Alma Mater Studiorum Università di Bologna, Bologna, Italy · Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES) - Alma Mater Studiorum Università di Bologna, Bologna, Italy

  10. Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown Manifolds

    Aug 5, 2026Yizhu Wang, Mu Niu, Xiaochen YangIdentity-Conditioned Latent Diffusion ModelsLatent Diffusion Model

    School of Mathematics and Statistics, University of Glasgow, Glasgow, U.K.

  11. Measuring Distortion in the Empty Regions of Dimensionality Reduction Scatterplots with the Gap Index

    Jul 30, 2026Jaume Ros, Alessio Arleo, Fernando PaulovichDimensionality ReductionDistortion

    Eindhoven University of Technology

  12. FADEx: Feature Attribution and Distortion-based Explanation of Dimensionality Reduction

    Jul 29, 2026Lucas Greff Meneses, Evandro S. Ortigossa, Claudio Silva +1Dimensionality ReductionFeature Importance

    University of São Paulo · Weizmann Institute of Science · New York University

  13. Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams

    Jul 29, 2026Kaifeng Zhang, Kai Ming TingPersistent HomologyVoronoi-Type Losses

    School of Artificial Intelligence Nanjing University, China

  14. FloDR: An invertible dimensionality reduction method based on a normalising flow

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionNormalizing Flows

    Bioinformatics Group Wageningen University & Research Wageningen 6708PB, The Netherlands

  15. Non--negative matrix factorization using the \textit{R} package \textsf{nnmf}

    Jul 22, 2026Volkan Sevinç, Nikolas Kontemeniotis, Theodoros Perdikis +1Nonnegative Matrix FactorizationDimensionality Reduction

    Muğla Sıtkı Koçman University, Faculty of Science, Department of Statistics, Kötekli Kampüsü, Muğla, Türkiye · Department of Economics, University of Crete, Gallos Campus, Rethimno, Greece · Department of Tourism Studies, University of Piraeus, Piraeus, Greece +1

  16. A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling

    Jul 21, 2026Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1Gaussian ProcessDimensionality Reduction

    Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH · Department of Mathematics, Purdue University, West Lafayette, IN

  17. How to Tame Grokking: Representation Geometry as a Control Signal

    Jul 13, 2026Maksim A KazanskiiGrokkingNeural Network Representations

    Independent Researcher

  18. Mathematics of Data Science

    Jul 11, 2026Afonso S. Bandeira, Amit Singer, Thomas StrohmerDimensionality ReductionMathematics

    ETH Zürich · Princeton University · UC Davis

  19. Terminal Dimension Reduction for Time Series with Applications

    Jul 10, 2026Alexander Munteanu, Matteo Russo, David Saulpic +1Dimensionality ReductionTime Series

    TU Dortmund, Germany · EPFL, Switzerland · CNRS & Université Paris Cité, IRIF, Paris, France +1

  20. Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph

    Jul 9, 2026Duen Horng Chau, Donghao Ren, Fred Hohman +1Dimensionality ReductionCommunity Detection

    Apple

  21. Dimension Reduction for Curves: Simplified and Generalized

    Jul 3, 2026Matthijs Ebbens, Jie Lu, Alexander MunteanuDimensionality ReductionCurves

    TU Dortmund, Germany

  22. Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces

    Jun 26, 2026Joyanta Jyoti Mondal, Ibne Farabi Shihab, Anuj SharmaContextual Bandit FrameworkDimensionality Reduction

    Department of Computer and Information Sciences, University of Delaware, USA · Department of Computer Science, Iowa State University, USA · Department of Civil, Construction & Environmental Engineering, Iowa State University, USA

  23. Dimensionality Reduction of QAOA Parameter Space with Kernel PCA for Max-Cut

    Jun 17, 2026Sidharth Brahmandam, Vayd RamkumarQuantum Approximate Optimization AlgorithmVariational Quantum Algorithms

    Naperville North High School · Independent Researcher

  24. What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection

    Jun 11, 2026Samuel Webster, Walter ScheirerBiometricsSaliency

    Department of Computer Science and Engineering University of Notre Dame, IN, USA

  25. Bridging Multi-Valued Heuristics and Dimensionality Reduction in Multi-Objective Search

    Jun 5, 2026Maya Wolff, Ariel Felner, Oren SalzmanMetaheuristicsShortest Paths

    Department of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel · Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel

  26. Anchor PCA

    Jun 4, 2026Benedikt Seiter, Anya Fries, Julius von Kügelgen +1Principal Component AnalysisDimensionality Reduction

    ETH Zürich

  27. Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding

    Jun 4, 2026Nelly Elsayed, Zag ElSayed, Navid AsadizanjaniDimensionality ReductionThreat Detection

    School of Information Technology University of Cincinnati Ohio, United States · Dept. of Electrical & Computer Engineering University of Florida Florida, United States

  28. When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression

    May 31, 2026Riku Kisako, Hayato Tsukagoshi, Ryohei SasanoText EmbeddingsData Compression Methods

    Graduate School of Informatics, Nagoya University

  29. FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection

    May 30, 2026Shan Zhang, Yongxin He, Mingming Zhang +2Synthetic Image DetectionUnsupervised Detection

    The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, CAS, Beijing, China +1

  30. Riemannian Stochastic Optimization for Sufficient Dimension Reduction

    May 29, 2026Thibault Pautrel, François PortierDimensionality ReductionRiemannian Optimization

    Laboratoire des Signaux et Systèmes (L2S), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France · ENSAI, CREST, Bruz, France

  31. ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings

    May 28, 2026Rajas Poorna, Marcus T. CiceroneDimensionality ReductionMultiscale

    Georgia Institute of Technology · School of Chemical and Biomolecular Engineering Georgia Institute of Technology · School of Chemistry and Biochemistry Georgia Institute of Technology

  32. Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems

    May 28, 2026Yueyang Wang, Xili Wang, Kejun Tang +3Variational InferenceInverse Problem

    School of Mathematical Sciences, Peking University · School of Sciences, Great Bay University · Department of Mathematics, Louisiana State University +1

  33. Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee

    May 27, 2026Shiyuan Zuo, Jiashuo Li, Rongfei Fan +2Federated LearningDimensionality Reduction

    Beijing Institute of Technology, Beijing, China · Xi’an Jiaotong University, Xi’an, China · The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

  34. Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks

    May 26, 2026Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan +2Dimensionality ReductionReynolds-Averaged Navier-Stokes

    School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA · Computational Science Center, National Laboratory of the Rockies (NLR), Golden, CO

  35. Supervised Distributional Reduction via Optimal Transport and Dependence Maximization

    May 26, 2026Sai-Aakash Ramesh, Archit Sood, Andrew Corbett +1Dimensionality Reduction

    digiLab, UK · University of Bristol, UK

  36. Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis

    May 26, 2026Yamato Suetake, Yuta Kawakami, Shunnosuke Ikeda +1Kernel MethodDimensionality Reduction

    Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Ibaraki, Japan · Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan

  37. MEDAL: Manifold Embedding Distillation via Autoencoder Learning

    May 22, 2026Irene Chang, Tarek M. Zikry, Genevera I. AllenDimensionality ReductionBehavioral Embeddings

    Department of Statistics, Columbia University, New York, NY 10027 · School of Data and Information Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 · Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027 +1

  38. When One Point Is Not Enough: Addressing Ambiguous Instances in Dimensionality Reduction by Splitting

    May 22, 2026Diede P. M. van der Hoorn, Alessio Arleo, Fernando V. PaulovichDimensionality ReductionHigh-Dimensional

    Eindhoven University of Technology

  39. DIVE: Embedding Compression via Self-Limiting Gradient Updates

    May 20, 2026Dongfang ZhaoTask-Aware CompressionData Compression Methods

  40. NOFE - Neural Operator Function Embedding

    May 12, 2026Lars Uebbing, Harald L. Joakimsen, Siyan Chen +6Dimensionality ReductionFourier Neural Operators

    1UiT The Arctic University of Norway · 2Norwegian Computing Center · University of South Brittany +1

  41. A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design

    May 12, 2026Andrea Serani, Giorgio Palma, Matteo Diez1B ParametersDimensionality Reduction

    National Research Council-Institute of Marine Engineering, Rome, Italy

  42. FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling

    May 12, 2026Hongmin LiDimensionality ReductionData Manifold

    School of Life Science and Technology, Institute of Science Tokyo · 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan 2Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences, The University of Tokyo

  43. DR-SNE: Density-Regularized Stochastic Neighbor Embedding

    May 3, 2026Maksim KazanskiiDimensionality ReductionSpherical Latent Space

    Independent Researcher

  44. Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization

    May 1, 2026Daniel Hangan, Stephen Kobourov, Jacob MillerDimensionality ReductionGraph Representations

    Technical University of Munich

  45. Class Angular Distortion Index for Dimensionality Reduction

    May 1, 2026Kaviru Gunaratne, Stephen Kobourov, Jacob MillerDimensionality ReductionDistortion

    Technical University of Munich

  46. DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale

    Apr 28, 2026Alexander Kolpakov, Igor RivinDimensionality ReductionTopology

    CSTEM, University of Austin, Austin, TX, USA · Department of Mathematics, Temple University, Philadelphia, PA, USA

  47. Assessing the impact of dimensionality reduction on clustering performance - a systematic study

    Apr 23, 2026Ousmane Assani Amate, Elyes Lounissi, Mohammadreza Bakhtyari +3Dimensionality ReductionClustering

    Université du Québec à Montréal, Montreal, Quebec, Canada · Mila - Quebec AI Institute, Montreal, Quebec, Canada

  48. Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment

    Apr 23, 2026Zhen Zhang, Jielei Chu, Tian Zhang +5Query-Specific Degradation-Aware RepresentationImage Quality Assessment

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China · School of Physics, Northeast Normal University, Changchun 130024, China · School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China +2

  49. Physics-Guided Dimension Reduction for Simulation-Free Operator Learning of Stiff Differential-Algebraic Systems

    Apr 21, 2026Huy Hoang Le, Haoguang Wang, Christian Moya +2Ordinary Differential EquationsJacobian

    School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907 USA · Department of Mathematics, Purdue University, West Lafayette, IN 47907 USA · Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA

  50. Neighbor Embedding for High-Dimensional Sparse Poisson Data

    Apr 18, 2026Noga Mudrik, Adam S. CharlesDimensionality ReductionPoisson

    Department of Biomedical Engineering Center for Imaging Science Kavli Neuroscience Discovery Institute Johns Hopkins University Baltimore, MD 21218, USA

  51. Does Dimensionality Reduction via Random Projections Preserve Landscape Features?

    Apr 14, 2026Iván Olarte Rodríguez, Anja Jankovic, Thomas Bäck +1Dimensionality ReductionOptimization Landscape

    Leiden Institute of Advanced Computer Science, Leiden University · Leiden, The Netherlands · RTWH Aachen University +1

  52. A Spectral Decomposition Framework for Multiscale Nonlinear Dimensionality Reduction

    Apr 2, 2026Zeyang Huang, Angelos Chatzimparmpas, Thomas Höllt +1Dimensionality ReductionGraph Edge Sparsification

    Linköping University, Sweden · Utrecht University, The Netherlands · University of Bergen, Norway +1

  53. Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems

    Mar 13, 2026Nicolò Botteghi, Silke Glas, Christoph BruneReduced-Order ModelsAutoencoder Architectures

    1MOX Laboratory, Department of Mathematics, Politecnico di Milano, Milano, Italy · Department of Applied Mathematics, University of Twente, Enschede, Netherlands

  54. Beyond Correlation: Learning Supervised, Sample-Distinct, and Eigenimage-Interpretable Representations

    Jul 22, 2025Mojtaba MoattariDimensionality ReductionFace Recognition Model

    Independent Researcher

  55. Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction

    Jan 31, 2025Daniel Herrera-Esposito, Johannes BurgeDimensionality Reduction

    Department of Psychology University of Pennsylvania

  56. Methods to integrate multinormals and compute classification measures

    Dec 23, 2020Abhranil Das, Wilson S GeislerDiscriminativeNorm

    Department of Physics, The University of Texas at Austin · Center for Perceptual Systems, The University of Texas at Austin · Center for Theoretical and Computational Neuroscience, The University of Texas at Austin +1

  57. Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization

    Date pendingLuo Long, Coralia Cartis, Paz Fink ShustinBayesian OptimizationDimensionality Reduction

    Mathematical Institute, University of Oxford, Radcliffe Observatory, Andrew Wiles Building, Woodstock Rd, Oxford, OX2 6GG, United Kingdom.