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time-series anomaly detection

otheractivetime-series-anomaly-detection-06bfb0d4·1 events·first seen May 29, 2026

Aliases: time-series anomaly detection

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Vision-Language Models TSB-AD-U VisAnomBench VisAnomReasoner

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time-series forecasting weakly supervised anomaly detection Causal Discovery on Irregular Time Series temporal glitch detection anomalyco out-of-distribution detection Time Series Foundation Models stance detection multivariate time series representation learning The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting temporal jittering Probabilistic Time Series Forecasting

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5arXiv · cs.AI·May 29, 2026·source ↗

VisAnomReasoner: Efficient VLM for Time-Series Anomaly Detection via VisAnomBench

Researchers introduce VisAnomBench, a curated benchmark augmenting public time-series anomaly datasets with natural-language rationales generated and selected from multiple large VLMs using task-specific rewards. Fine-tuning on this benchmark produces VisAnomReasoner, a parameter-efficient vision-language model that outperforms all baselines by at least 21.23 and 23.87 percentage points in precision and F1 on VisAnomBench. Cross-benchmark evaluation on TSB-AD-U shows further generalization gains of 9.57 and 13.39 percentage points in precision and F1, respectively.

Evaluation and Benchmarking Agent and Tool Ecosystem time-series anomaly detection Vision-Language Models TSB-AD-U +3 more