Principal Component Analysis

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Period ending 2026-09-21

8 new papers

A weekly snapshot of new work published in Principal Component Analysis.

Period ending 2026-09-14

8 new papers

A weekly snapshot of new work published in Principal Component Analysis.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Principal Component Analysis.

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278 papers

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  1. Gap-Free Streaming PCA Beyond Rank-One Updates: Near-Optimal Rates and Applications to Differential Privacy

    Sep 22, 2026Anming Gu, Syamantak Kumar, Kevin Tian +1Principal Component AnalysisOptimal Sample Complexity

  2. SuperPCA: subspace analysis and an efficient algorithm for high-dimensional PCA

    Sep 22, 2026Irina-Beatrice Haas, Maike Meier, Yuji Nakatsukasa +1Principal Component Analysis

  3. PACE: Plug-and-Play Contextual Embedding for Feature Screening with Pretrained Tabular Foundation Models

    Sep 20, 2026Qi Qin, Erbo Li, Ting Wei +4Tabular LearningPrincipal Component Analysis

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

    Sep 17, 2026Zhenlin Yao, Wei XiongPrincipal Component AnalysisDimensionality Reduction

  5. SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting

    Sep 17, 2026Abraham Ezema, Chijioke Eze, Ferdinanda Ponci +1Multivariate Time Series ForecastingTransformer Architectures

  6. Learning Submanifolds for Subsequent Inference on Random Dot Product Graphs, Part 1: Theory

    Sep 16, 2026Michael W. Trosset, Carey E. PriebeManifold Learning MethodLow-Dimensional Structure

  7. Symmetry without a manifold: intrinsic dimension on orbits

    Sep 15, 2026Chon-Fai Kam, Miloud Bessafi, Frédéric CadetIntrinsic DimensionalityScaling Laws

  8. Motion planning in high dimensional spaces hybridizing RRT and HAR via position-direction decoupling

    Sep 15, 2026Frederic Cazals, Nelson FeyeuxMulti-Robot Motion PlanningRobot Systems

  9. Rotation-Based Subspace Tracking for Robust Kernel PCA on Streaming Data

    Sep 14, 2026Kris Lokere, John FossacecaPrincipal Component Analysis

  10. Generating the Unheard: Phylogeny-Guided Latent Generation for Ancestral Sound Reconstruction

    Sep 14, 2026Tianyi Xu, Shrinaath Narasimhan, Evan Gorstein +3Acoustic RepresentationPhylogenetic Trees

  11. Low-Dimensional Embeddings for Gaussian Kernels on Manifolds

    Sep 14, 2026Soumik Dutta, Kunal DuttaKernel MethodManifolds

  12. A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization

    Sep 13, 2026Yue Zhao, Hossein Haghbin, Rebecca Sanders +1Principal Component AnalysisSingular Value Decomposition

  13. GeoTrussRover: Morphological Computation with Contact-Semantic Control Primitives

    Sep 11, 2026Muyuan Ma, Yi Zhang, Yang Yang +12TraversabilityRobot Trajectories

  14. Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs

    Sep 9, 2026Saurabh Sihag, Andrea Cavallo, Elvin Isufi +2Covariance EstimationNeural Network

  15. Dimensionality Reduction for Hyperspectral Image Classification

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

  16. A Kernel-Based Modular Discriminant Analysis Framework for Small-Sample Learning

    Sep 9, 2026Lingxiao Qu, Yan PeiKernel MethodPrincipal Component Analysis

  17. Exact Degeneracy Under Balanced k-Shot Sampling:Consequences for Small-Sample Discriminant Analysis on LLM Embeddings

    Sep 9, 2026Lingxiao QuPrincipal Component AnalysisIndependent Component Analysis

  18. Bayesian Matrix-Valued Graphs for Context-Dependent Multivariate Relationships

    Sep 7, 2026Papri DeyMatrix FactorizationBayesian

  19. CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm

    Sep 7, 2026Johann FaouziTime-Series ClassificationImage Clustering

  20. Calendar-Structured Sparse Principal Component Analysis for Interpretable Multi-Periodic Electricity Consumption Profiles

    Sep 5, 2026Carlos Quesada-Granja, Tony Castillo-Calzadilla, Carlos Rizo-MaestrePrincipal Component AnalysisPeriodic Domains

  21. Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing

    Sep 1, 2026Parsa Moradi, Mohammad Ali Maddah-AliSource-Channel CodingLow-Dimensional Structure

  22. Stochastic complexity of vectors containing cluster structure

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

  23. TSExplorer: An interactive data annotation and exploration tool for time-series data

    Aug 31, 2026Einari Vaaras, Manu Airaksinen, Okko RäsänenVisual AnalyticsTime Series

  24. Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction

    Aug 30, 2026Louen Pottier, Louis Lesueur, Anders ThorinMasked AutoencodersDimensionality Reduction

  25. A Hub of Short Rows Inflates Intrinsic Dimension Estimation of Token Embeddings

    Aug 30, 2026Alexandre QuemyIntrinsic DimensionalityCenter

  26. Intrinsic Interaction Geometry Controls the Low-Rank Complexity of Softmax Attention

    Aug 28, 2026Yuhe Sui, Jianing Zhang, Yingzhi TangLow-Rank FactorizationGumbel-Softmax Relaxation

  27. Revenge of Monosemanticity: Neuron Specialization as a New Form of Feature Learning in MLPs

    Aug 25, 2026Amirhesam Abedsoltan, Enric Boix-Adsera, Fivos Kalogiannis +1Feature LearningMultilayer Perceptrons

  28. Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach

    Aug 20, 2026Amrita Shaw, Chandrasekar S. N., Sai Muthukumar V. +2Non-Destructive Frying Oil Oxidation AssessmentRaman

  29. High-dimensional networks and mean squared error for possibly misspecified models

    Aug 13, 2026Lourens WaldorpLassoHigh-Dimensional Data

  30. DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition

    Aug 13, 2026Amogh Joshi, Animesh Mukherjee, Sergey UtyuzhnikovVisual AttributionNvidia Nemotron

  31. DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces

    Aug 12, 2026Hans Buehler, Blanka Horvath, Anastasis KratsiosDerivative PricingSynthetic Time Series

  32. Towards Truly Unsupervised Evaluation of Feature Selection -- Extended Version

    Aug 12, 2026Hafiz Saud Arshad, Muhammad Rajabinasab, Arthur ZimekFeature SelectionUnsupervised

  33. Towards an approach to multivariate outlier detection for District Heating System data

    Aug 11, 2026Rajko Turudija, Dušan Stojiljković, Milan Zdravković +1Hvac ControlOutliers

  34. FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data

    Aug 11, 2026Viktoria Schuster, Sana Tonekaboni, Caroline UhlerIntrinsic DimensionalityMulti-Modal Representation Learning

  35. Iterative Erasure Count Is Not an Affine-Invariant Concept Dimension

    Aug 11, 2026Tingan Jin, Shuhang Dong, Haosong Li +1Intrinsic DimensionalityConcept Erasure

  36. Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network

    Aug 11, 2026Karl Pierce, Yuehaw Khoo, Haizhao YangHigh-Dimensional DataTensor Networks

  37. 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 Sequencing

  38. 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 DetectionConvolutional

  39. P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

    Aug 10, 2026Amoon Jamzad, Dilakshan Srikanthan, Faranak Akbarifar +2Principal Component AnalysisMedical Imaging

  40. A Combined Feature-Based Framework for Disguise and Spoofing Detection in Face Recognition Systems

    Aug 9, 2026Sangiya PararajasinghamFacial RecognitionSpoofed Speech

  41. Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method

    Aug 7, 2026Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin +2High-Dimensional DataHypergraphs

  42. 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

  43. Training-Free Hashing-Based Attention via Binary Principal Components

    Aug 5, 2026Daohai Yu, Zhanpeng Zeng, Keyu Chen +6Dynamic Sparse AttentionQuadratic Attention

  44. SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval

    Aug 4, 2026Lin ZhangKey-Value CacheKey-Value

  45. Detecting high-frequency brain disorder signals using dynamic mode decomposition from EEG

    Aug 3, 2026Jacob Kang, Jong-Hyeon SeoElectroencephalography Spatial Super-ResolutionHigh-Frequency Textures

  46. Stochastic Sequential Search in Very-High-Dimensional Feature Selection

    Aug 2, 2026Petr Somol, Jiří GrimFeature SelectionHigh-Dimensional Data

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

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

  48. On a joint simultaneous learning of relevant feature subsets and subspaces in regression-like problems

    Jul 30, 2026Illia HorenkoChaosLow-Data Regimes

  49. Sparsity Induced Identifiability in Matrix Tri-Factorisation

    Jul 29, 2026Tingting MuMatrix FactorizationSparsity

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

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

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

    Jul 29, 2026Shuo-Chieh Huang, Chien-Ming Chi, Jau-er ChenNonparametricBayesian Networks

  52. Origins and mitigation of double descent in reduced order modeling

    Jul 29, 2026Andrei A. Klishin, J. Nathan Kutz, Krithika ManoharReconstruction ErrorDescent

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

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionEmbedding Dimension

  54. When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines

    Jul 28, 2026Nguyen Thanh Phong, Truong Viet Vu, Nguyen Ha Thu +4Single-Cell Rna SequencingImage Clustering

  55. Integrating Factual and Normative Industrial Knowledge via Constraint-Aware Graph Attention for Process Plan Recommendation

    Jul 27, 2026Yuntong Chen, Yingqi Li, Yingying Xiao +5Collaborative FilteringPlanning Methods

  56. Neural operator discovery from heterogeneous trajectories

    Jul 25, 2026Zituo Chen, Qiaofeng Li, Jiaxin Hu +1Neural OperatorsInteraction Trajectories

  57. Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space

    Jul 25, 2026Baran Koseoglu, Berrin YanikogluFeature SelectionPrincipal Component Analysis

  58. Projection Pursuit CPCANet for Domain Generalization

    Jul 24, 2026Yu-Hsi Chen, Abd-Krim SeghouaneMultimodal Domain GeneralizationDomain Generalization

  59. Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA

    Jul 23, 2026Sergio A. AlvarezKernel Hilbert SpacesPrincipal Component Analysis

  60. The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability

    Jul 22, 2026Abigail Woodring, Adrian Chan, Rana Muhammad Shahroz Khan +3Large Language Model AdaptationLow-Rank Adaptation