The optimal advance split time for rare event sampling in 1D chaotic maps equals the logarithm of the ratio of target rarity to initial perturbation size, generalized via maximum entropy.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
physics.ao-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Online conformal prediction post-processing guarantees calibrated uncertainty coverage for GenCast, NeuralGCM, and AIFS-ENS forecasts of temperature and precipitation including extremes.
citing papers explorer
-
Routes to rare events with optimally timed perturbations: a Tent Map is all you need
The optimal advance split time for rare event sampling in 1D chaotic maps equals the logarithm of the ratio of target rarity to initial perturbation size, generalized via maximum entropy.
-
Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction
Online conformal prediction post-processing guarantees calibrated uncertainty coverage for GenCast, NeuralGCM, and AIFS-ENS forecasts of temperature and precipitation including extremes.