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KTH Royal Institute of Technology
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FALM-PINN reduces relative \(L^2\) errors by up to 100 times compared to current benchmarks in solving high-frequency nonlinear PDEs.
Ditch costly PIDE integration: RHYME-XT learns the flow map directly, offering a continuous-time, discretization-invariant representation that beats state-of-the-art neural operators.