Dimensionality Reduction

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2 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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High-DimensionalPrincipal Component AnalysisIntrinsic DimensionalityLow-Dimensional Structure

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Period ending 2026-09-14

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51 papers

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  1. Dimensionality Reduction for Hyperspectral Image Classification

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

  2. Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction

    Aug 30, 2026Louen Pottier, Louis Lesueur, Anders ThorinAutoencoderDimensionality Reduction

  3. 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

  4. 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 +2Out-Of-Distribution Detection PerformanceConvolutional Layers

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

    Aug 5, 2026Yizhu Wang, Mu Niu, Xiaochen YangConditional Latent DiffusionLatent Diffusion Model

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

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

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

    Jul 29, 2026Lucas Greff Meneses, Evandro S. Ortigossa, Claudio Silva +1Dimensionality ReductionConcept-Based Explainability

  8. Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams

    Jul 29, 2026Kaifeng Zhang, Kai Ming TingPersistent HomologyVoronoi Regions

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

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionNormalizing Flows

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

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

  11. 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

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

    Jul 13, 2026Maksim A KazanskiiGrokkingNeural Representations

  13. Mathematics of Data Science

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

  14. Terminal Dimension Reduction for Time Series with Applications

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

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

    Jul 9, 2026Duen Horng Chau, Donghao Ren, Fred Hohman +1Dimensionality ReductionK-Nearest-Neighbor

  16. Dimension Reduction for Curves: Simplified and Generalized

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

  17. 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 SharmaMulti-Objective BanditsDimensionality Reduction

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

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

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

    Jun 11, 2026Samuel Webster, Walter ScheirerBiometricsSaliency

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

    Jun 5, 2026Maya Wolff, Ariel Felner, Oren SalzmanShortest PathsHeuristics

  21. Anchor PCA

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

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

    Jun 4, 2026Nelly Elsayed, Zag ElSayed, Navid AsadizanjaniDimensionality ReductionReal-Time Threat Detection

  23. 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 SasanoLarge Language Model CompressionPatient-Specific Textual Embeddings

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

    May 30, 2026Shan Zhang, Yongxin He, Mingming Zhang +2Synthetic Image DetectionContrastive Learning

  25. Riemannian Stochastic Optimization for Sufficient Dimension Reduction

    May 29, 2026Thibault Pautrel, François PortierDimensionality ReductionRiemannian Optimization

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

    May 28, 2026Rajas Poorna, Marcus T. CiceroneDimensionality ReductionHyperspherical Embedding Geometry

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

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

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

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

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

    May 26, 2026Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan +2Dimensionality ReductionShallow Water Equations

  30. Supervised Distributional Reduction via Optimal Transport and Dependence Maximization

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

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

    May 26, 2026Yamato Suetake, Yuta Kawakami, Shunnosuke Ikeda +1Dimensionality ReductionPrivacy-Preserving Framework

  32. MEDAL: Manifold Embedding Distillation via Autoencoder Learning

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

  33. 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

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

    May 20, 2026Dongfang ZhaoLarge Language Model CompressionModel and Context Compression

  35. NOFE - Neural Operator Function Embedding

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

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

    May 12, 2026Andrea Serani, Giorgio Palma, Matteo DiezDimensionality ReductionParameter Space Geometry

  37. FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling

    May 12, 2026Hongmin LiDimensionality ReductionHyperspherical Embedding Geometry

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

    May 3, 2026Maksim KazanskiiDimensionality ReductionRandomized Global-Local Density Estimation

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

    May 1, 2026Daniel Hangan, Stephen Kobourov, Jacob MillerDimensionality ReductionStochastic Gradient Descent

  40. Class Angular Distortion Index for Dimensionality Reduction

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

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

    Apr 28, 2026Alexander Kolpakov, Igor RivinDimensionality ReductionTopology

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

    Apr 23, 2026Ousmane Assani-Amate, Mohammadreza Bakhtyari, Émilie Roy +1Dimensionality ReductionClustering

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

    Apr 23, 2026Zhen Zhang, Jielei Chu, Tian Zhang +5Image Quality AssessmentDegradation

  44. 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

  45. Neighbor Embedding for High-Dimensional Sparse Poisson Data

    Apr 18, 2026Noga Mudrik, Adam S. CharlesDimensionality ReductionDeterminantal Point Process

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

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

  47. A Spectral Decomposition Framework for Multiscale Nonlinear Dimensionality Reduction

    Apr 2, 2026Zeyang Huang, Angelos Chatzimparmpas, Thomas Höllt +1Dimensionality ReductionSpectral Algorithms

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

    Jul 22, 2025Mojtaba MoattariDimensionality ReductionModel Interpretability Methods

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

    Jan 31, 2025Daniel Herrera-Esposito, Johannes BurgeDimensionality ReductionGeometric Machine Learning

  50. Methods to integrate multinormals and compute classification measures

    Dec 23, 2020Abhranil Das, Wilson S GeislerMulticlass ClassificationCamouflage

  51. Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization

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