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News/GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis
arxiv
PublishedJune 5, 2026 at 4:00 AM
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GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis

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arXiv:2606.05860v1 Announce Type: new Abstract: Designing neural architectures for time-series forecasting and anomaly detection remains a resource-intensive task that often requires substantial domain expertise. Traditional Automated Machine Learning (AutoML) systems typically rely on static, prede

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