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Metric-Aware Hybrid Forecasting for the CTF4Science Lorenz Challenge

arXiv cs.LG · 2026-06-04 Cached

The paper describes a metric-aware hybrid forecasting system for the CTF4Science Lorenz challenge, combining neural denoisers, ODE fitting, and histogram-tail substitution to optimize different metrics across nine task pairs, achieving a public leaderboard score of 83.85529.

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