{"total":51,"rows":[{"id":"2311.03757","title":"Manifold learning: what, how, and why","created":"2023-11-07","cited_by_count":68,"area":null},{"id":"2105.07536","title":"Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data","created":"2021-05-16","cited_by_count":55,"area":null},{"id":"2103.14608","title":"On UMAP's true loss function","created":"2021-03-26","cited_by_count":32,"area":null},{"id":"2205.14814","title":"Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding","created":"2022-05-30","cited_by_count":28,"area":null},{"id":"2103.14629","title":"Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution","created":"2021-03-26","cited_by_count":14,"area":null},{"id":"2201.13053","title":"A Probabilistic Graph Coupling View of Dimension Reduction","created":"2022-01-31","cited_by_count":13,"area":null},{"id":"2305.13797","title":"SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities","created":"2023-05-23","cited_by_count":12,"area":null},{"id":"2102.13009","title":"t-SNE, Forceful Colorings and Mean Field Limits","created":"2021-02-25","cited_by_count":10,"area":null},{"id":"2203.00126","title":"Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach","created":"2022-02-28","cited_by_count":8,"area":null},{"id":"2109.11505","title":"Multidimensional Scaling: Approximation and Complexity","created":"2021-09-23","cited_by_count":7,"area":null},{"id":"2207.00510","title":"Enhancing cluster analysis via topological manifold learning","created":"2022-07-01","cited_by_count":6,"area":null},{"id":"2305.19043","title":"A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction","created":"2023-05-30","cited_by_count":6,"area":null},{"id":"2508.02741","title":"DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening","created":"2025-08-02","cited_by_count":6,"area":null},{"id":"2410.16608","title":"Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective","created":"2024-10-22","cited_by_count":5,"area":null},{"id":"2503.09101","title":"The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction","created":"2025-03-12","cited_by_count":5,"area":null},{"id":"2401.11576","title":"Quantum Architecture Search with Unsupervised Representation Learning","created":"2024-01-21","cited_by_count":4,"area":null},{"id":"2401.17675","title":"Convergence analysis of t-SNE as a gradient flow for point cloud on a manifold","created":"2024-01-31","cited_by_count":4,"area":null},{"id":"2410.13063","title":"Large data limits and scaling laws for tSNE","created":"2024-10-16","cited_by_count":4,"area":null},{"id":"2110.02573","title":"T-SNE Is Not Optimized to Reveal Clusters in Data","created":"2021-10-06","cited_by_count":3,"area":null},{"id":"2407.21263","title":"Outlier Detection in Large Radiological Datasets using UMAP","created":"2024-07-31","cited_by_count":3,"area":null},{"id":"2510.07746","title":"t-SNE Exaggerates Clusters, Provably","created":"2025-10-09","cited_by_count":3,"area":null},{"id":"2203.15424","title":"Semantic properties of English nominal pluralization: Insights from word embeddings","created":"2022-03-29","cited_by_count":2,"area":null},{"id":"2406.09876","title":"Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation","created":"2024-06-14","cited_by_count":2,"area":null},{"id":"2206.00135","title":"AVIDA: Alternating method for Visualizing and Integrating Data","created":"2022-05-31","cited_by_count":1,"area":null},{"id":"2301.06077","title":"MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation","created":"2023-01-15","cited_by_count":1,"area":null},{"id":"2301.13732","title":"Preserving local densities in low-dimensional embeddings","created":"2023-01-31","cited_by_count":1,"area":null},{"id":"2306.12272","title":"From structure mining to unsupervised exploration of atomic octahedral networks","created":"2023-06-21","cited_by_count":1,"area":null},{"id":"2307.12676","title":"Few-shot $\\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance","created":"2023-07-24","cited_by_count":1,"area":null},{"id":"2308.09878","title":"DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets","created":"2023-08-19","cited_by_count":1,"area":null},{"id":"2312.01662","title":"Universal Deoxidation of Semiconductor Substrates Assisted by Machine-Learning and Real-Time-Feedback-Control","created":"2023-12-04","cited_by_count":1,"area":null},{"id":"2408.01294","title":"Feature Clock: High-Dimensional Effects in Two-Dimensional Plots","created":"2024-08-02","cited_by_count":1,"area":null},{"id":"2409.16963","title":"Stochastic neighborhood embedding and the gradient flow of relative entropy","created":"2024-09-25","cited_by_count":1,"area":null},{"id":"2410.15688","title":"MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2411.00332","title":"In-situ Self-optimization of Quantum Dot Emission for Lasers by Machine-Learning Assisted Epitaxy","created":"2024-11-01","cited_by_count":1,"area":null},{"id":"2411.02058","title":"Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories Through Manifold Learning: A Linear Approach","created":"2024-11-04","cited_by_count":1,"area":null},{"id":"2411.10617","title":"Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions","created":"2024-11-15","cited_by_count":1,"area":null},{"id":"2412.13495","title":"Federated t-SNE and UMAP for Distributed Data Visualization","created":"2024-12-18","cited_by_count":1,"area":null},{"id":"2503.23822","title":"Node Embeddings via Neighbor Embeddings","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2604.12041","title":"On the continuum limit of t-SNE for data visualization","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2604.13295","title":"Some Theoretical Limitations of t-SNE","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2101.01178","title":"Advances in Electron Microscopy with Deep Learning","created":"2021-01-04","cited_by_count":0,"area":null},{"id":"2106.09789","title":"Topological Indoor Mapping through WiFi Signals","created":"2021-06-17","cited_by_count":0,"area":null},{"id":"2208.06676","title":"May the force be with you","created":"2022-08-13","cited_by_count":0,"area":null},{"id":"2305.03797","title":"Materials Informatics: An Algorithmic Design Rule","created":"2023-05-05","cited_by_count":0,"area":null},{"id":"2407.19913","title":"Cell Culture Assistive Application for Precipitation Image Diagnosis","created":"2024-07-29","cited_by_count":0,"area":null},{"id":"2410.20248","title":"Convergence Guarantees for the DeepWalk Embedding on Block Models","created":"2024-10-26","cited_by_count":0,"area":null},{"id":"2506.23287","title":"HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2509.03373","title":"Cluster and then Embed: A Modular Approach for Visualization","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2510.15014","title":"The Tree-SNE Tree Exists","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2603.02275","title":"A Comparative Study of UMAP and Other Dimensionality Reduction Methods","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2609.04379","title":"On the Abundance of Critical Points of the t-SNE Energy","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}