Papers/2608.13562
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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
80%
1h ago

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.

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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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