Cover Image

Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mondal, Rachita, Indibi, Mert, Maiti, Tapabrata, Aviyente, Selin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Co-Hub Node Based Multiview Graph Learning with Theoretical Guarantees
by: Banerjee, Bisakh, et al.
Published: (2025)

Signed Graph Learning: Algorithms and Theory
by: Karaaslanli, Abdullah, et al.
Published: (2025)

Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks
by: Jantre, Sanket, et al.
Published: (2023)

Robust Tensor-on-Tensor Regression
by: Hirari, Mehdi, et al.
Published: (2026)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)

Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
by: Shi, Haoming, et al.
Published: (2025)

Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)

Multiview Graph Learning with Consensus Graph
by: Karaaslanli, Abdullah, et al.
Published: (2024)

Robust Tensor Regression with Nonconvexity: Algorithmic and Statistical Theory
by: Song, Zihao, et al.
Published: (2026)

Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024)

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
by: Boggia, Laura, et al.
Published: (2025)

High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
by: Chen, Elynn, et al.
Published: (2024)

Discriminative community detection for multiplex networks
by: Ortiz-Bouza, Meiby, et al.
Published: (2024)

Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)

Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
by: Li, Jingyang, et al.
Published: (2025)

Online Tensor Inference
by: Wen, Xin, et al.
Published: (2023)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)

Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
by: Banerjee, Sudipto, et al.
Published: (2022)

Spatiotemporal Besov Priors for Bayesian Inverse Problems
by: Lan, Shiwei, et al.
Published: (2023)

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

CP Degeneracy in Tensor Regression
by: Zhou, Ya, et al.
Published: (2020)

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

Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)

Causal Decomposition Analysis with Synergistic Interventions: A Triply-Robust Machine Learning Approach to Addressing Multiple Dimensions of Social Disparities
by: Park, Soojin, et al.
Published: (2025)

Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
by: Pathak, Rajdeep, et al.
Published: (2026)

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies
by: Nguyen, Minh, et al.
Published: (2022)

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
by: Hong, Sungchul, et al.
Published: (2023)

Robust CATE Estimation Using Novel Ensemble Methods
by: Machluf, Oshri, et al.
Published: (2024)

Robust Conformal Outlier Detection under Contaminated Reference Data
by: Bashari, Meshi, et al.
Published: (2025)

Empirical Bayes Linked Matrix Decomposition
by: Lock, Eric F.
Published: (2024)

Causality-Driven Disentangled Representation Learning in Multiplex Graphs
by: Nasiri, Saba, et al.
Published: (2026)

K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023)

Tucker Diffusion Model for High-dimensional Tensor Generation
by: Guo, Jianhua, et al.
Published: (2026)

Multiple Linked Tensor Factorization
by: Kang, Zhiyu, et al.
Published: (2025)

GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
by: Oprescu, Miruna, et al.
Published: (2025)

Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
by: Huijsdens, Hester, et al.
Published: (2024)

Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)

Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport
by: Wilson, Michael, et al.
Published: (2024)

Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing
by: Guo, Wanru, et al.
Published: (2026)

Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
by: Gao, Chenyin, et al.
Published: (2024)