Manifold Learning Method

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  1. 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

  2. Bracketing Uncertainty in Clustering Under the Manifold Hypothesis

    Sep 15, 2026Savik Kinger, Luciano Dyballa, Steven W. ZuckerManifold Learning MethodInput Uncertainties

  3. Geometry-Aware Graph Construction via Adaptive Spectral Bandwidth Control

    Sep 3, 2026Ecem Bozkurt, Antonio OrtegaKernel MethodManifold Learning Method

  4. Aggregating Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval

    Sep 2, 2026Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio, Lucas Pascotti Valem +1Composed Image RetrievalManifold Learning Method

  5. Sierpiński--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation

    Sep 1, 2026Sebastien Tchitchek, Julien TiernyWasserstein DistancePersistent Homology

  6. DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel k-Means Clustering

    Sep 1, 2026Xiaoyu Lian, Yuchao Zhang, Shuyin Xia +2Granular-Ball ComputingK-Means

  7. Gromov-Wasserstein Quantization and Clustering: Structure, Rates, and Algorithms

    Aug 11, 2026Florian Beier, Stephan EcksteinGromov--WassersteinK-Means

  8. Spectral Embeddings of Degree-α Laplacians in Random Dot Product Graphs

    Aug 11, 2026John Park, Ning HaoGraph LaplaciansImage Clustering

  9. Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengManifold Learning MethodMulti-View

  10. Why does Greedy Search produce Optimal Clustering Outcomes? A Fixed-Core Assignment Theory

    Jul 27, 2026Kaifeng Zhang, Kai Ming Ting, Sanjay ChawlaImage ClusteringManifold Learning Method

  11. Queryable Self-Organizing Maps: A Database Abstraction for Topology-Driven Data Exploration

    Jul 24, 2026Denis Mayr Lima Martins, Gottfried VossenData MiningManifold Learning Method

  12. Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications

    Jul 23, 2026Zhuan Liang, Zheng ZhaiManifold Learning MethodRegularization Techniques

  13. EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

    Jul 7, 2026Przemysław RolaManifold Learning MethodGeodesic

  14. On the convergence of graph Laplacians with a symmetric divergence

    Jul 7, 2026Liane XuGraph LaplaciansRiemannian Manifolds

  15. RSLoRA: Training-free Rank Allocation for LoRA via Representational Sensitivity Probing

    Jul 5, 2026Jiaqi Liu, Haidong Kang, Qihui Zhao +1Gradient-Free Rank AllocatorLow-Rank Adaptation

  16. Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere

    Jun 16, 2026Léo Nicollier, Enric Meinhardt-Llopis, Max Dunitz +3Regularization TechniquesMaximum Mean Discrepancy

  17. On Out-of-sample Embedding in UMAP

    Jun 3, 2026Mohammad Tariqul Islam, Jason W. FleischerManifold Learning MethodRotational Repulsion Mechanism

  18. A Nonmonotone Gradient-Based Algorithm for Symmetric Nonnegative Matrix Factorization and Graph Clustering

    Jun 1, 2026Ryan Swart, Johannes BrustNonnegative Matrix FactorizationProximal Gradient Descent

  19. Flexible Online Representation Learning Based on Similarity Matching

    Jun 1, 2026Shagesh Sridharan, Yanis Bahroun, Anirvan M. SenguptaManifold Learning MethodRepresentation Learning

  20. Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization

    May 27, 2026Jungwook Seo, Minjeong Kim, Younkwan Lee +2AnomalyAnomaly Detection

  21. SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings

    May 26, 2026Léo Nicollier, Max Dunitz, Marc Pic +3Manifold Learning MethodEmbedding Dimension

  22. Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

    May 24, 2026Tianwei Wang, Bryan Chen, Qian Zuo +3Lie GroupLearning Dynamics

  23. Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution

    May 22, 2026Hongbo Wang, Huaibo Huang, Pin Wang +3Generative Super-ResolutionLarge-Scale Image Generation

  24. Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering

    May 21, 2026Zeqiang Xian, Caihui Liu, Yong Zhang +1Granular-Ball ComputingImage Clustering

  25. Euclidean Embedding of Data Using Local Distances

    May 19, 2026Dimitris ArabadjisManifold Learning MethodDistance

  26. SMIXAE: Towards Unsupervised Manifold Discovery in Language Models

    May 9, 2026Collin FrancelSparse Autoencoder FeaturesNeural Architectures

  27. Bilinear autoencoders find interpretable manifolds

    May 9, 2026Thomas Dooms, Ward Gauderis, Geraint Wiggins +1Masked AutoencodersManifold Learning Method

  28. p-adic Manifold Learning and Benchmark Tasks from Impartial Games

    May 6, 2026Tomoki MiharaManifold Learning MethodNp-Hard

  29. Do Sparse Autoencoders Capture Concept Manifolds?

    Apr 30, 2026Usha Bhalla, Thomas Fel, Can Rager +9Manifold Learning MethodManifolds

  30. Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning

    Apr 29, 2026Junwon You, Mihyun Jang, Sangwoo Mo +1Multimodal AlignmentLarge Vision Language Models

  31. Local Neighborhood Instability in Parametric Projections: Quantitative and Visual Analysis

    Apr 23, 2026Frederik L. Dennig, Daniel A. KeimManifold Learning MethodNeighbors

  32. Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning

    Apr 20, 2026Alexandre L. M. LevadaManifold Learning MethodPrincipal Component Analysis

  33. Green-ELM: Efficient Analytic Learning via High-Dimensional Random Projections

    Apr 17, 2026Wladimir SilvaNeural ArchitecturesManifold Learning Method