most citedDeep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems

1 citations · 1 across the 1 of their papers we have counts for

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cs.CE2024★ 1 cited

Deep LPPLS: Forecasting of temporal critical points in natural, engineering and financial systems

Joshua Nielsen, Didier Sornette, Maziar Raissi

The Log-Periodic Power Law Singularity (LPPLS) model offers a general framework for capturing dynamics and predicting transition points in diverse natural and social systems. In th…