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NeurIPS 2026U Illinois Urbana-ChampaignMicrosoft ResearchGriffithDatadogMicrosoftTime series foundation models

OATS: Online Data Augmentation for Time Series Foundation Models

OATS dynamically generates training-stage-specific synthetic data guided by valuable samples via diffusion, consistently outperforming static augmentation for time series foundation models.

Junwei Deng, Chang Xu, Jiaqi Ma, Ming Jin and 4 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 4/5
medium 3/10
strict 1/5
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NeurIPS 2026Tsinghua University, TsinghuaDepartment of Industrial EngineeTsinghuaHuawei Technologies Ltd.DatadogAnomaly detection

VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection

VETime unifies temporal and visual modalities via fine-grained alignment and dynamic fusion for zero-shot time-series anomaly detection, outperforming state-of-the-art models with lower overhead.

Yingyuan Yang, Tian Lan, Yifei Gao, Yimeng Lu and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5