Cover Image

RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yehya, Jad, Benbakoura, Mansour, Allain, Cédric, Malezieux, Benoît, Kowalski, Matthieu, Moreau, Thomas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms
by: Kowalski, Matthieu, et al.
Published: (2024)

On the Robustness of Decision-Focused Learning
by: Farhat, Yehya
Published: (2023)

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
by: Dorfman, Ron, et al.
Published: (2024)

Fusing Dictionary Learning and Support Vector Machines for Unsupervised Anomaly Detection
by: Irofti, Paul, et al.
Published: (2024)

Trivial Graph Features and Classical Learning are Enough to Detect Random Anomalies
by: Latapy, Matthieu, et al.
Published: (2026)

Robust Learning-Augmented Dictionaries
by: Zeynali, Ali, et al.
Published: (2024)

End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection
by: Kozłowski, Aleksander, et al.
Published: (2024)

FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Scalable and adaptive prediction bands with kernel sum-of-squares
by: Allain, Louis, et al.
Published: (2025)

Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
by: Li, Zhong, et al.
Published: (2025)

Personalized Convolutional Dictionary Learning of Physiological Time Series
by: Roques, Axel, et al.
Published: (2025)

CDL CHARGES
by: ACL AIR CON
Published: (2026)

CDL Dataset
by: Sattari, Mehdi
Published: (2026)

Improving Rare Word Translation With Dictionaries and Attention Masking
by: Sible, Kenneth J., et al.
Published: (2024)

From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting
by: Hurault, Samuel, et al.
Published: (2025)

Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization
by: Li, Jimmy, et al.
Published: (2023)

Multi-Scale Convolutional LSTM with Transfer Learning for Anomaly Detection in Cellular Networks
by: Noonari, Nooruddin, et al.
Published: (2024)

OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
by: Aly, Ahmed, et al.
Published: (2025)

Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
by: Tang, Yuanbo, et al.
Published: (2025)

SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations
by: van Dreven, Jonne, et al.
Published: (2024)

When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection
by: Ascarate, Alejandro, et al.
Published: (2026)

RobustA: Robust Anomaly Detection in Multimodal Data
by: AlMarri, Salem, et al.
Published: (2025)

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
by: Ai, Guoguo, et al.
Published: (2025)

Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders
by: Sultanov, Seyfal, et al.
Published: (2024)

Topological Dictionary Learning
by: Grimaldi, Enrico, et al.
Published: (2025)

Diverse Dictionary Learning
by: Zheng, Yujia, et al.
Published: (2026)

Scalable Graph Compressed Convolutions
by: Sun, Junshu, et al.
Published: (2024)

Robust Anomaly Detection in Industrial Environments via Meta-Learning
by: Aqeel, Muhammad, et al.
Published: (2025)

SCADE: Scalable Framework for Anomaly Detection in High-Performance System
by: Vinay, Vaishali, et al.
Published: (2024)

A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos
by: Jebur, Sabah Abdulazeez, et al.
Published: (2024)

Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
by: Bougaham, Arnaud, et al.
Published: (2025)

High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
by: Li, Shelei, et al.
Published: (2024)

Unmixing Noise from Hawkes Process to Model Learned Physiological Events
by: Staerman, Guillaume, et al.
Published: (2024)

Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains
by: Panwar, Anupam, et al.
Published: (2025)

A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Threshold
by: Maitra, Sarit, et al.
Published: (2024)

FrameShield: Adversarially Robust Video Anomaly Detection
by: Nafez, Mojtaba, et al.
Published: (2025)

Robust Anomaly Detection via Tensor Pseudoskeleton Decomposition
by: Su, Bowen
Published: (2025)

eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
by: Mansour, Jad, et al.
Published: (2024)

Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection
by: Dissanayaka, Sahan, et al.
Published: (2024)