Bayesian Tensor Autoencoder with Physics-informed Predictive Prior for Multi-dimensional Time Series Anomaly Detection

arXiv:2609.31157 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Bayesian Tensor Decomposition — 23× in this paper
• Core — 13× in this paper · explained in 2 episodes
• Generalization — 12× in this paper · explained in 13 episodes
• Loss Function — 11× in this paper · explained in 2 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Reconstruction Error — 6× in this paper · explained in 2 episodes
• AUC — 5× in this paper · explained in 2 episodes
• Objective Function — 5× in this paper · explained in 2 episodes
• Variational Inference — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Variational Bayes — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Tensor Wheel — 2× in this paper
• Time Series Forecasting — 2× in this paper · explained in 3 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Area Under the Curve — 1× in this paper
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Computational Tractability — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Mean Squared Error — 1× in this paper
• Networks in the Neural Network — 1× in this paper
• PPPTAE and State-Of-The-Art — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Short Message Service — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes

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