{"total":39,"rows":[{"id":"2203.15267","title":"Selective inference for k-means clustering","created":"2022-03-29","cited_by_count":22,"area":null},{"id":"2106.07816","title":"Tree-Values: selective inference for regression trees","created":"2021-06-15","cited_by_count":15,"area":null},{"id":"2301.07276","title":"Data thinning for convolution-closed distributions","created":"2023-01-18","cited_by_count":13,"area":null},{"id":"2310.14608","title":"CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference","created":"2023-10-23","cited_by_count":10,"area":null},{"id":"2303.12931","title":"Generalized Data Thinning Using Sufficient Statistics","created":"2023-03-22","cited_by_count":8,"area":null},{"id":"2308.01475","title":"Interpretable Machine Learning for Discovery: Statistical Challenges \\& Opportunities","created":"2023-08-02","cited_by_count":7,"area":null},{"id":"2402.03724","title":"Statistical Test for Anomaly Detections by Variational Auto-Encoders","created":"2024-02-06","cited_by_count":7,"area":null},{"id":"2212.12940","title":"Exact Selective Inference with Randomization","created":"2022-12-25","cited_by_count":6,"area":null},{"id":"2401.08169","title":"Statistical Test for Attention Map in Vision Transformer","created":"2024-01-16","cited_by_count":6,"area":null},{"id":"2208.03675","title":"Kernel Biclustering algorithm in Hilbert Spaces","created":"2022-08-07","cited_by_count":3,"area":null},{"id":"2406.18902","title":"Statistical Test for Feature Selection Pipelines by Selective Inference","created":"2024-06-27","cited_by_count":3,"area":null},{"id":"2409.11497","title":"Decomposing Gaussians with Unknown Covariance","created":"2024-09-17","cited_by_count":3,"area":null},{"id":"2410.19768","title":"Statistical Test for Auto Feature Engineering by Selective Inference","created":"2024-10-13","cited_by_count":3,"area":null},{"id":"2502.12978","title":"Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2506.04553","title":"Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2410.15133","title":"Controllable RANSAC-based Anomaly Detection via Hypothesis Testing","created":"2024-10-19","cited_by_count":2,"area":null},{"id":"2502.03062","title":"Change Point Detection in the Frequency Domain with Statistical Reliability","created":"2025-02-05","cited_by_count":2,"area":null},{"id":"2508.07049","title":"Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation","created":"2025-08-09","cited_by_count":2,"area":null},{"id":"2606.00436","title":"Weighted Conformal Clustering","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2108.05350","title":"Controlling the False Split Rate in Tree-Based Aggregation","created":"2021-08-11","cited_by_count":1,"area":null},{"id":"2306.00833","title":"When Does Bottom-up Beat Top-down in Hierarchical Community Detection?","created":"2023-06-01","cited_by_count":1,"area":null},{"id":"2307.11351","title":"Bounded P-values in Parametric Programming-based Selective Inference","created":"2023-07-21","cited_by_count":1,"area":null},{"id":"2402.11789","title":"Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference","created":"2024-02-19","cited_by_count":1,"area":null},{"id":"2103.11802","title":"Forest Fire Clustering for Single-cell Sequencing with Iterative Label Propagation and Parallelized Monte Carlo Simulation","created":"2021-03-22","cited_by_count":0,"area":null},{"id":"2202.06593","title":"Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series Detection","created":"2022-02-14","cited_by_count":0,"area":null},{"id":"2211.01521","title":"Inferring independent sets of Gaussian variables after thresholding correlations","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2404.15967","title":"Interpretable Clustering with the Distinguishability Criterion","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2504.18633","title":"Statistical Inference for Clustering-based Anomaly Detection","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2506.01150","title":"Flexible Selective Inference with Flow-based Transport Maps","created":"2025-06-01","cited_by_count":0,"area":null},{"id":"2507.08382","title":"Two-cluster test","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2512.06522","title":"Hierarchical Clustering With Confidence","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2604.07744","title":"The Condition-Number Principle for Prototype Clustering","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2606.29732","title":"Testing hypotheses via orthogonalization","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.04667","title":"Automatic Statistical Test for Rationally Expressible Algorithms by Selective Inference, with Applications to Feature Selection","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.16669","title":"Concept-based explanation of gene expression prediction from H&E images","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.05683","title":"Nonparametric Hypothesis Testing of High-dimensional Clustering With Application to Single-cell RNA Data","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.31712","title":"Statistical Testing for Multiple Instance Learning via Selective Inference with Applications to Computational Pathology","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.37935","title":"Post-Anomaly Detection Inference for Deep SVDD","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.17458","title":"Selective Inference for Clustering Under Unknown Covariance","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}