AINeutralarXiv – CS AI · 10h ago6/10
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TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations
Researchers propose Time-Frequency Gated Spectral Neural Operators (TF-SNO), a machine learning framework that dynamically adapts its spectral response to model non-stationary partial differential equations where frequency content changes over time. The approach outperforms existing spectral neural operators on six benchmarks by using state-dependent modulation rather than static spectral filters.