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L-FNO: Lorentzian Fourier Neural Operator for Stochastic Event Dynamics
Not provided in the abstract
neural operatorsstochastic modelingevent prediction
2608.13562
Builder Relevance
1h ago80%
Abstract
The paper introduces the Lorentzian Fourier Neural Operator (L-FNO), which effectively models stochastic event dynamics by improving event likelihood and rare-event detection.
Reality Card
Core Claim
L-FNO outperforms standard neural operators in event likelihood, calibration diagnostics, and rare-event detection across multiple benchmarks.
Method / Result
L-FNO improves event likelihood and rare-event detection over regression- and likelihood-based neural operator baselines.
Limitations
The abstract does not specify limitations or reproducibility concerns.
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