Saved in:
| Main Authors: | Cao, Yang, Yang, Sikun, Zhang, Xuyun, Yang, Yujiu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.03664 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Isolation-based Spherical Ensemble Representations for Anomaly Detection
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
Kernel Representation and Similarity Measure for Incomplete Data
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
Text Anomaly Detection with Simplified Isolation Kernel
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
by: Yang, Sikun, et al.
Published: (2024)
by: Yang, Sikun, et al.
Published: (2024)
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
by: Yang, Sikun, et al.
Published: (2023)
by: Yang, Sikun, et al.
Published: (2023)
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
by: Yu, Xincan, et al.
Published: (2024)
by: Yu, Xincan, et al.
Published: (2024)
Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
by: Huang, Rui, et al.
Published: (2024)
by: Huang, Rui, et al.
Published: (2024)
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks
by: Jiang, Huixiu, et al.
Published: (2024)
by: Jiang, Huixiu, et al.
Published: (2024)
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
by: Du, Xin, et al.
Published: (2025)
by: Du, Xin, et al.
Published: (2025)
CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions
by: Zhang, Hong-Kun, et al.
Published: (2025)
by: Zhang, Hong-Kun, et al.
Published: (2025)
LoCa: Logit Calibration for Knowledge Distillation
by: Yang, Runming, et al.
Published: (2024)
by: Yang, Runming, et al.
Published: (2024)
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
by: Cao, Yuxuan, et al.
Published: (2025)
by: Cao, Yuxuan, et al.
Published: (2025)
Anomaly Detection Based on Isolation Mechanisms: A Survey
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics
by: Wang, Jiahao, et al.
Published: (2024)
by: Wang, Jiahao, et al.
Published: (2024)
IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
Anomaly Detection using Ensemble Classification and Evidence Theory
by: Arévalo, Fernando, et al.
Published: (2022)
by: Arévalo, Fernando, et al.
Published: (2022)
Active Hypothesis Testing for Correlated Combinatorial Anomaly Detection
by: Yang, Zichuan, et al.
Published: (2026)
by: Yang, Zichuan, et al.
Published: (2026)
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
by: Xiao, Zhibo, et al.
Published: (2024)
by: Xiao, Zhibo, et al.
Published: (2024)
Anomaly Detection and Generation with Diffusion Models: A Survey
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Understanding Multimodal Deep Neural Networks: A Concept Selection View
by: Shang, Chenming, et al.
Published: (2024)
by: Shang, Chenming, et al.
Published: (2024)
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)
by: Zhong, Zhijie, et al.
Published: (2024)
CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations
by: Tang, Benzhao, et al.
Published: (2026)
by: Tang, Benzhao, et al.
Published: (2026)
Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
by: Dou, Shaoyu, et al.
Published: (2025)
by: Dou, Shaoyu, et al.
Published: (2025)
Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
by: Yang, Wei, et al.
Published: (2025)
by: Yang, Wei, et al.
Published: (2025)
Feature Protection For Out-of-distribution Generalization
by: Tan, Lu, et al.
Published: (2024)
by: Tan, Lu, et al.
Published: (2024)
Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning
by: Yang, Xuewei, et al.
Published: (2026)
by: Yang, Xuewei, et al.
Published: (2026)
Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
by: Hu, Shiyan, et al.
Published: (2026)
by: Hu, Shiyan, et al.
Published: (2026)
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
by: Lu, Xiaohua, et al.
Published: (2024)
by: Lu, Xiaohua, et al.
Published: (2024)
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
by: Marimont, Sergio Naval, et al.
Published: (2024)
by: Marimont, Sergio Naval, et al.
Published: (2024)
Contextual and Seasonal LSTMs for Time Series Anomaly Detection
by: Zhang, Lingpei, et al.
Published: (2026)
by: Zhang, Lingpei, et al.
Published: (2026)
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
by: Zhao, Haihong, et al.
Published: (2024)
by: Zhao, Haihong, et al.
Published: (2024)
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble
by: Luo, Fan-Ming, et al.
Published: (2022)
by: Luo, Fan-Ming, et al.
Published: (2022)
Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
by: Mastriani, Emilio, et al.
Published: (2025)
by: Mastriani, Emilio, et al.
Published: (2025)
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
by: Yin, Tao, et al.
Published: (2025)
by: Yin, Tao, et al.
Published: (2025)
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2024)
by: Zhong, Zhijie, et al.
Published: (2024)
A Generalizable Anomaly Detection Method in Dynamic Graphs
by: Yang, Xiao, et al.
Published: (2024)
by: Yang, Xiao, et al.
Published: (2024)
STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2025)
by: Cheng, Hanyin, et al.
Published: (2025)
Similar Items
-
Isolation-based Spherical Ensemble Representations for Anomaly Detection
by: Cao, Yang, et al.
Published: (2025) -
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026) -
Kernel Representation and Similarity Measure for Incomplete Data
by: Cao, Yang, et al.
Published: (2025) -
Text Anomaly Detection with Simplified Isolation Kernel
by: Cao, Yang, et al.
Published: (2025) -
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
by: Yang, Sikun, et al.
Published: (2024)