Cover Image

BoundAD: Boundary-Aware Negative Generation for Time Series Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Xiancheng, Wang, Lin, Zhang, Zhibo, Wang, Rui, Zhao, Minghang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection
by: Wang, Xiancheng, et al.
Published: (2025)

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN
by: Wang, Lin, et al.
Published: (2025)

PD-SOVNet: A Physics-Driven Second-Order Vibration Operator Network for Estimating Wheel Polygonal Roughness from Axle-Box Vibrations
by: Wang, Xiancheng, et al.
Published: (2026)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)

PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)

ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)

An Improved Time Series Anomaly Detection by Applying Structural Similarity
by: Wang, Tiejun, et al.
Published: (2025)

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
by: Li, Beibu, et al.
Published: (2025)

ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
by: Khan, Uzair, et al.
Published: (2026)

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
by: Zhang, Wenxin, et al.
Published: (2025)

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection
by: Sánchez-Ferrera, Aitor, et al.
Published: (2025)

Contextual and Seasonal LSTMs for Time Series Anomaly Detection
by: Zhang, Lingpei, et al.
Published: (2026)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
by: Wang, Zexin, et al.
Published: (2024)

FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
by: Lin, Yifei, et al.
Published: (2024)

SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD
by: Yeh, Chin-Chia Michael
Published: (2026)

DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
by: Li, Yuewei, et al.
Published: (2026)

Can Multimodal LLMs Perform Time Series Anomaly Detection?
by: Xu, Xiongxiao, et al.
Published: (2025)

FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
by: Zhang, Da, et al.
Published: (2025)

CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
by: Wu, Xingjian, et al.
Published: (2024)

RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
by: Mou, Xudong, et al.
Published: (2025)

DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
by: Wang, Lixu, et al.
Published: (2024)

AXIS: Explainable Time Series Anomaly Detection with Large Language Models
by: Lan, Tian, et al.
Published: (2025)

Understanding Time Series Anomaly State Detection through One-Class Classification
by: Zhou, Hanxu, et al.
Published: (2024)

CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup
by: Mou, Xudong, et al.
Published: (2025)

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
by: Murad, Md Mahmuddun Nabi, et al.
Published: (2025)

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
by: Xu, Hongzuo, et al.
Published: (2022)

Robust Group Anomaly Detection for Quasi-Periodic Network Time Series
by: Yang, Kai, et al.
Published: (2025)

OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
by: Wang, Chen, et al.
Published: (2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
by: Chen, PengYu, et al.
Published: (2026)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)

CGSTA: Cross-Scale Graph Contrast with Stability-Aware Alignment for Multivariate Time-Series Anomaly Detection
by: Qi, Zhongpeng, et al.
Published: (2026)

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
by: Wang, Yuanyi, et al.
Published: (2024)

Time-Series Contrastive Learning against False Negatives and Class Imbalance
by: Jin, Xiyuan, et al.
Published: (2023)

TracInAD: Measuring Influence for Anomaly Detection
by: Thimonier, Hugo, et al.
Published: (2022)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
by: Wu, Zhangkai, et al.
Published: (2024)

IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection
by: Zhou, Xiaohui, et al.
Published: (2026)

An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series
by: Martinez, Waldyn G
Published: (2026)