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A learned graph structure and structural energy term significantly improve selective forecasting reliability by explicitly penalizing violations of inter-variable dependencies, outperforming whole-forecast scoring methods on key benchmarks.
Tabular foundation models can slash inference time by 40x in IoT intrusion detection without sacrificing accuracy, opening the door for real-time smart city security operations.
