Cover Image

Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hennhöfer, Oliver, Preisach, Christine
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Between Resolution Collapse and Variance Inflation: Weighted Conformal Anomaly Detection in Low-Data Regimes
by: Hennhöfer, Oliver, et al.
Published: (2026)

Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'
by: Hennhöfer, Oliver, et al.
Published: (2026)

Leave-One-Out Stable Conformal Prediction
by: Lee, Kiljae, et al.
Published: (2025)

Sparse Binary Representation Learning for Knowledge Tracing
by: Badran, Yahya, et al.
Published: (2025)

Weighted Leave-One-Out Cross Validation
by: Pronzato, Luc, et al.
Published: (2025)

Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
by: Weber, Kenan, et al.
Published: (2024)

Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
by: Badran, Yahya, et al.
Published: (2025)

Addressing Label Leakage in Knowledge Tracing Models
by: Badran, Yahya, et al.
Published: (2024)

Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
by: Badran, Yahya, et al.
Published: (2025)

Cross-validating causal discovery via Leave-One-Variable-Out
by: Schkoda, Daniela, et al.
Published: (2024)

Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN
by: Dehghanian, Zahra, et al.
Published: (2023)

Leave-One-Out Prediction for General Hypothesis Classes
by: Qian, Jian, et al.
Published: (2026)

Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks
by: Kirsch, Maximilian, et al.
Published: (2025)

When LRP Diverges from Leave-One-Out in Transformers
by: You, Weiqiu, et al.
Published: (2025)

Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression
by: Kanagawa, Motonobu
Published: (2024)

Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis
by: Zhu, Haonan, et al.
Published: (2026)

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation
by: Sun, Hui, et al.
Published: (2026)

Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation
by: Gourevitch, Samson, et al.
Published: (2026)

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
by: Liu, Fengyuan, et al.
Published: (2024)

Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions
by: Wang, Tianming, et al.
Published: (2024)

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective
by: Bölat, Kutay, et al.
Published: (2023)

Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty
by: Pang, Lingyou, et al.
Published: (2025)

phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors
by: Tyree, Juniper, et al.
Published: (2025)

Bootstrapping the Cross-Validation Estimate
by: Cai, Bryan, et al.
Published: (2023)

Graph Pre-Training Models Are Strong Anomaly Detectors
by: Cheng, Jiashun, et al.
Published: (2024)

Tabular Foundation Models are Strong Graph Anomaly Detectors
by: Liu, Yunhui, et al.
Published: (2026)

Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
by: Obata, Kohei, et al.
Published: (2025)

Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment
by: Bansal, Aditya, et al.
Published: (2024)

Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa
by: Adjei, Yaw Osei
Published: (2026)

ARC: A Generalist Graph Anomaly Detector with In-Context Learning
by: Liu, Yixin, et al.
Published: (2024)

LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
by: Ye, Hangting, et al.
Published: (2025)

Periodic Graph-Enhanced Multivariate Time Series Anomaly Detector
by: Li, Jia, et al.
Published: (2025)

Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data
by: Mondal, Sudeepta, et al.
Published: (2026)

Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
by: Puccetti, Tommaso, et al.
Published: (2024)

Towards Unbiased Evaluation of Time-series Anomaly Detector
by: Bhattacharya, Debarpan, et al.
Published: (2024)

Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery
by: Li, Jingtao, et al.
Published: (2023)

Reconstruction Error-based Anomaly Detection with Few Outlying Examples
by: Angiulli, Fabrizio, et al.
Published: (2023)

Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
by: Jiang, Hanyang, et al.
Published: (2026)

Evaluation and Optimization of Leave-one-out Cross-validation for the Lasso
by: Burn, Ryan
Published: (2025)

Can LLMs Serve As Time Series Anomaly Detectors?
by: Dong, Manqing, et al.
Published: (2024)