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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. Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions

    Oct 5, 2026Wei-Ting Tang, Madhav Muthyala, Joel A. PaulsonGaussian ProcessHigh-Dimensional

    Department of Chemical and Biological Engineering University of Wisconsin–Madison Madison, WI 53706, USA

  2. The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology

    Oct 4, 2026Mattéo Clémot, Julie Digne, Julien TiernyPersistent HomologyHigh-Dimensional

    Université Lyon 1 · CNRS, Université Lyon 1 · CNRS, Sorbonne Université

  3. Asymptotic Properties of Support Vector Machines in High-Dimension, Low-Sample-Size Settings under a Spiked Model

    Sep 30, 2026Yugo NakayamaSupport Vector MachinesHigh-Dimensional

    Independent researcher

  4. Subgroup Rank-1 Lattice for Practical High-dimensional Black-box Integral Approximation

    Sep 28, 2026Yueming LyuKernel MethodBayesian Quadrature

    Centre for Frontier AI Research (CFAR) Agency for Science, Technology and Research (A*STAR) 1 Fusionopolis Way #16-16 Connexis Singapore, 138632

  5. Resource-Aware Parameter-Efficient Model Adaptation for Onboard High-Dimensional Data

    Sep 27, 2026Qiyang Zhang, Xinhao Li, Lei Shi +4Parameter-Efficient AdaptationMulti-Lora

    Beijing University of Posts and Telecommunications · Wuhan University · Communication University of China +1

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

    Sep 15, 2026Frederic Cazals, Nelson FeyeuxMotion PlanningRobot Systems

    Centre Inria at Université Côte d’Azur, France

  7. 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

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

    Aug 13, 2026Lourens WaldorpLassoHigh-Dimensional

    University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 NP, the Netherlands

  9. High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions

    Aug 12, 2026Hongyan Wang, Jiayu Huang, Haotian Zheng +6Multi-Objective Bayesian Optimization AlgorithmsMulti-Objective Optimization

    School of Vehicle and Mobility Tsinghua University Beijing, China · Faculty of Engineering The Hong Kong Polytechnic University Hong Kong, China

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

    Aug 11, 2026Karl Pierce, Yuehaw Khoo, Haizhao YangTensor DecompositionHigh-Dimensional

    † The University of Maryland, College Park, College Park MD 20742 USA · ∗The University of Chicago, Chicago, IL 60637 USA

  11. Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models

    Aug 7, 2026Emilien Seiler, Nicolas Talabot, Yingxuan You +2Shape Optimization3D Models

    CVLab, EPFL

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

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

    Department of Computer Science and Engineering, UC San Diego

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

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

    Institute of Information Theory and Automation, The Czech Academy of Sciences Prague, Czech Republic

  14. Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series

    Jul 27, 2026Mohammad FesangharyCausal Discovery MethodsNon-Stationarity

    Bloomberg LP, New York, NY, USA

  15. 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 AdaptationPretraining

    Department of Electrical and Computer Engineering NC State University, Raleigh, NC 27606, USA · Independent Researcher · Department of Computer Science University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA

  16. cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data

    Jul 16, 2026Chun-houh Chen, Shun-Chuan Chang, Chiun-How Kao +5VisualizationHeatmap

    Institute of Statistical Science, Academia Sinica, Taipei, Taiwan · Department of Statistics, National Taipei University, New Taipei City, Taiwan · Holistic Education Center, Mackay Medical University, New Taipei City, Taiwan +4

  17. Spectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs

    Jul 15, 2026Tianchi Yu, Ivan OseledetsSpectral Representation MethodPartial Differential Equations

    1AXXX · 2Applied AI Institute · 3INM

  18. Efficient Online Proportional Sampling with Applications to Smoothed Online Learning

    Jul 13, 2026Amirmahdi Mirfakhar, Maria-Florina Balcan, Hedyeh BeyhaghiLearning-Augmented AlgorithmsBounded Adversary

    University of Massachusetts Amherst · Carnegie Mellon University

  19. Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics

    Jul 10, 2026Hugo CuiInfluence FunctionHigh-Dimensional

    Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France

  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. High-Dimensional Procrustes Matching via Tree Counts

    Jul 9, 2026Xiaochun Niu, Tselil Schramm, Jiaming XuHigh-DimensionalGaussian Primitives

    The Fuqua School of Business, Duke University, Durham NC, USA · Department of Statistics, Stanford University, Stanford, CA, USA

  22. Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling

    Jul 7, 2026Robert Gruhlke, Julius Berner, David Sommer +1Diffusion SamplingDiffusion Models

    Freie Universität Berlin · NVIDIA · WIAS +2

  23. Fast, Parallel, Query-Efficient Binary Classification

    Jul 5, 2026Ishani Karmarkar, Liam O'Carroll, Aaron SidfordSeparabilityHigh-Dimensional

    Stanford University

  24. Transfer Learning in High-dimensional Ising Models

    Jul 3, 2026Joonho Kim, Seyoung ParkTransfer LearningSpatial Photonic Ising Machines

    Kim Jaechul Graduate School of Artificial Intelligence, KAIST, Seoul, Republic of Korea · Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea

  25. Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data

    Jul 2, 2026Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis +1Multi-Omic IntegrationBacterial Colony Counting

    Department of Mathematical Sciences Durham University Durham, United Kingdom · STFC Hartree Centre University of Liverpool Liverpool, United Kingdom · STFC Hartree Centre Daresbury, United Kingdom

  26. High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction

    Jul 1, 2026Yu Guan, Tianjia Huang, Qinrong Cai +3Magnetic Resonance Imaging ReconstructionBayesian Inverse Problems

  27. Improved Multi-Dimensional Forecasting for Swap Regret

    Jun 28, 2026Joey Rivkin, Ramiro N. Deo-Campo Vuong, Robert Kleinberg +3RegretDownstream Reasoning

    Cornell University

  28. Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model

    Jun 26, 2026Andrea Montanari, Kangjie ZhouEmpirical Risk MinimizationHigh-Dimensional

    Department of Mathematics and Department of Statistics, Stanford University · Department of Statistics, Columbia University

  29. Uniform Sampling from High-dimensional Spectral Norm Balls

    Jun 23, 2026Michael R. MetelSpectral NormSingular Value Decomposition

  30. Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers

    Jun 20, 2026Zhangyong Liang, Huanhuan GaoNeural Partial Differential Equation SolversPartial Differential Equations

    National Center for Applied Mathematics, Tianjin University, Tianjin, 300072, PR China · School of Mechanical and Aerospace Engineering, Jilin University, Changchun, 130025, PR China

  31. Robust Neural Tucker Factorization with Bias Correction and Adaptive Initialization

    Jun 15, 2026Yuchao Su, Yixin RanTensor CompletionNeural Tangent Kernel

    School of Computer Science and Engineering, Chongqing University of Science and Technology, Chongqing, China · College of Computer and Information Science, School of Software, Southwest University, Chongqing, China

  32. Riemannian Metric Matching for Scalable Geometric Modeling of Distributions

    Jun 12, 2026Jacob Bamberger, Adam Gosztolai, Pierre Vandergheynst +2Riemannian ManifoldsRiemannian Flow Matching

    Department of Computer Science, University of Oxford, Oxford, UK · Institute of Artificial Intelligence, Medical University of Vienna, Vienna, Austria · EPFL, Lausanne, Switzerland +1

  33. Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization

    Jun 8, 2026Ruinan Wang, Ian Nabney, Mohammad GolbabaeeGeneral Grid Search FrameworkHigh-Dimensional

    University of Bristol, Bristol, United Kingdom

  34. Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions

    Jun 8, 2026Ludvig Doeser, Jens JascheCosmologyPosterior

    The Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova University Centre, SE 106 91 Stockholm, Sweden · Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA

  35. BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

    Jun 8, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Synthetic Tabular DataHigh-Dimensional

    1,2,3,5Lane Department of Computer Science and Electrical Engineering West Virginia University, Morgantown, WV 26506, USA · 4Scientific Computing and Imaging Institute & Department of Biomedical Informatics The University of Utah, Salt Lake City, UT 84112, USA

  36. Overcoming the Limits of Finite Difference Method; Physics-Informed Neural Network for Noisy High-Dimensional Heat Diffusion

    Jun 6, 2026Shreesh Bhattarai, Harish Chandra BhandariHeat DiffusionTime Discretization

    Department of Mathematics, Kathmandu University Dhulikhel, Nepal

  37. Deep Single-Index Fréchet Regression

    Jun 5, 2026Muqing Cui, Yidong Zhou, Su I Iao +1High-DimensionalExponential Family

    Department of Statistics, University of California, Davis, CA, United States.

  38. Gaussian Process Latent Factor Regression for Low-Data, High-Dimensional Output Problems

    Jun 4, 2026Edward T. Stevenson, Eric T. Wolf, Mei Ting Mak +2Gaussian ProcessHigh-Dimensional

    University of Cambridge · University of Colorado Boulder · University of Oxford +1

  39. GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data

    Jun 3, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Kumar Gyawali +2Tabular Foundation ModelsTabpfn

    Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA · Scientific Computing and Imaging Institute & Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT 84112, USA

  40. An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization

    Jun 3, 2026Rui Zhang, Jinhang Liu, Wenbo ZhangExploratory Factor AnalysisHigh-Dimensional

    Chongqing Academy of Economics Research Chongqing, China · College of Computer and Information Science, Southwest University Chongqing, China

  41. A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors

    Jun 2, 2026Hongju Park, Zhenyao Ye, Shuo ChenScreeningHigh-Dimensional

    School of Pharmacy, University of North Carolina, Chapel Hill · Maryland Psychiatric Research Center, School of Medicine, University of Maryland

  42. Hierarchical RBF-KAN and RBF-SKAN Architectures for Multidimensional Function Approximation and Random Field Learning

    Jun 1, 2026Mingtao Xia, Qijing ShenRadial Basis FunctionKolmogorov-Arnold Networks

    University of Houston, Philip Guthrie Hoffman Hall, 3551 Cullen Blvd, Houston, 77204, Texas, United States of America · University of Birmingham, Watson Building, Birmingham, B15 2TT,, United Kingdom · University of Oxford, Henry Wellcome Building for Molecular Physiology, Old Road, Oxford, OX3 7BN, Oxfordshire, United Kingdom

  43. IRIS: time-structured manifold projections

    May 29, 2026Brian Ondov, Chia-Hsuan Chang, Weipeng Zhou +6Single-Cell RnaHigh-Dimensional

    Department of Biomedical Informatics and Data Science, Yale School of Medicine, 333 Cedar St, New Haven, 06510, CT, USA. · School of Information, University of Michigan, 500 S. State St, Ann Arbor, 48109, MI, USA.

  44. Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent

    May 27, 2026Guillaume Larue, Louis-Adrien Dufrène, Quentin Lampin +2Two-Layer Neural NetworksHigh-Dimensional

    Orange Research, Meylan, France · Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France · Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France.

  45. Causal Risk Minimization for High-Dimensional Treatments

    May 26, 2026Nikita Dhawan, Arnav Paruthi, Andrew Kim +3Causal InferencesHigh-Dimensional

    University of Toronto, Vector Institute · University of Toronto · Vanguard

  46. 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

  47. High-Dimensional Concentration and Retrieval Instability in Embedding Spaces: Implications for Retrieval-Augmented Generation

    May 19, 2026Ernesto Lopez FuneApproximate Nearest-Neighbor SearchHigh-Dimensional

    DE · Data Empirix, Paris, France

  48. Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing

    May 19, 2026Valentina Njaradi, Clémentine Dominé, Rachel Swanson +2PretrainingUnlabeled Data

    Gatsby Computational Neuroscience Unit · University College London · Institute of Science and Technology Austria +1

  49. Factor Augmented High-Dimensional SGD

    May 19, 2026Shubo Li, Yuefeng Han, Xiufan YuStochastic Gradient DescentHigh-Dimensional

    Department of Statistics The Pennsylvania State University University Park, PA 16802, USA · Department of Applied and Computational Mathematics and Statistics University of Notre Dame Notre Dame, IN 46556, USA

  50. Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing

    May 18, 2026Manal Benhamza, Marianne Clausel, Myriam TamiCausal Representation LearningIdentifiability

    Paris-Saclay University, CentraleSupélec, MICS Lab, France · Lorraine University, CRAN, France

  51. Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data

    May 18, 2026Ariane Delrocq, Wu S. Zihan, Guillaume Bellec +1Singular Learning TheorySynaptic Plasticity

    School of Life Science and School of Computer and Communications Sciences, EPFL, Lausanne, Switzerland · Machine Learning Research Unit, TU Wien, Vienna, Austria

  52. Topo-GS: Continuous Volumetric Embedding of High-Dimensional Data via Topological Gaussian Splatting

    May 16, 2026João Paulo Gois, Luis Gustavo NonatoVolumeTopology

    Universidade Federal do ABC (UFABC), Santo André, Brazil · Instituto de Ciências Matemáticas e de Computação (ICMC), Universidade de São Paulo (USP), São Carlos, Brazil

  53. A Resampling-Based Framework for Network Structure Learning in High-Dimensional Data

    May 12, 2026Ziwei Huang, Zeyuan Song, Paola Sebastiani +1High-DimensionalResampling

    Department of Physics, Boston University, Boston, MA · Division of Computational Biomedicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA · Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA +4

  54. Novel GPU Boruta algorithms for feature selection from high-dimensional data

    May 11, 2026Xurui Li, Zhiguo Gan, Jiaming Zhang +2Feature SelectionFeature Importance

    Department of Chemical Engineering, Tsinghua University, 2026 Shuangqing Road, Beijing, 100084, China.

  55. Learning stochastic multiscale models through normalizing flows

    May 10, 2026Anan Saha, Arnab GangulyMultiscale DynamicsStochastic Dynamics

    Department of Mathematics Louisiana State University Baton Rouge, LA 70802

  56. Learnability and Competition in High-Dimensional Multi-Component ICA

    May 8, 2026Eser Ilke Genc, Samet Demir, Zafer DoganIndependent Component AnalysisHigh-Dimensional

    MLIP Research Group, KUIS AI Center, Koç University · Department of EEE, Koç University

  57. Sliced Inner Product Gromov-Wasserstein Distances

    May 8, 2026Xiaoyun Gong, Gabriel Rioux, Ziv GoldfeldGromov--WassersteinSlices

  58. When Diffusion Model Can Ignore Dimension: An Entropy-Based Theory

    May 8, 2026Ahmad Aghapour, Erhan BayraktarDiffusion SamplingHigh-Dimensional

    Department of Mathematics, University of Michigan, Ann Arbor, 48109

  59. Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples

    May 8, 2026Yicen Li, Ruiyang Hong, Anastasis Kratsios +2ClusteringHierarchical

    Department of Mathematics and Statistics, McMaster University, Canada · Vector Institute, Canada · University of Cambridge, United Kingdom

  60. No Triangulation Without Representation: Generalization in Topological Deep Learning

    May 7, 2026Johannes S. Schmidt, Martin Carrasco, Ernst Röell +3TriangulationsData Manifold

    Dept. of Math. & Statistics University of Montréal Montréal, Canada · Dept. of Informatics University of Fribourg Fribourg, Switzerland