Fourier-KAN-Mamba combines Fourier features, KAN nonlinearities, and Mamba state-space modeling with a gating mechanism and reports better anomaly detection performance than prior methods on the MSL, SMAP, and SWaT benchmarks.
Online time series anomaly detection with state space gaussian processes
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A self-contained tutorial surveying sequential inference methods for Gaussian processes with applications in signal processing.
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Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection
Fourier-KAN-Mamba combines Fourier features, KAN nonlinearities, and Mamba state-space modeling with a gating mechanism and reports better anomaly detection performance than prior methods on the MSL, SMAP, and SWaT benchmarks.
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Sequential Inference for Gaussian Processes: A Signal Processing Perspective
A self-contained tutorial surveying sequential inference methods for Gaussian processes with applications in signal processing.