Longer training horizons improve forecast quality but worsen learnability, with loss-landscape roughness growing exponentially for chaotic dynamics and linearly for limit cycles.
The importance of species interactions in eco-evolutionary community dynamics under climate change.Nature Communications, 12(1):4759, 2021
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Temporal horizons in forecasting: a performance-learnability trade-off
Longer training horizons improve forecast quality but worsen learnability, with loss-landscape roughness growing exponentially for chaotic dynamics and linearly for limit cycles.