KoopAGRU, a GRU-based Koopman model with FFT time-variant/invariant decomposition, reports an average F1 of 90.88% on five anomaly detection benchmarks, exceeding cited baselines.
Lagrangian solutions to the transport--Stokes system
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abstract
In this paper we consider the transport--Stokes system, which describes the sedimentation of particles in a viscous fluid in inertialess regime. We show existence of Lagrangian solutions to the Cauchy problem with $L^1$ initial data. We prove uniqueness of solutions as a corollary of a stability estimate with respect to the 1-Wasserstein distance for solutions with initial data in a Yudovich-type refinement of $L^3$, with finite first moment. Moreover, we describe the evolution starting from axisymmetric initial data. Our approach is purely Lagrangian.
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KoopAGRU: A Koopman-based Anomaly Detection in Time-Series using Gated Recurrent Units
KoopAGRU, a GRU-based Koopman model with FFT time-variant/invariant decomposition, reports an average F1 of 90.88% on five anomaly detection benchmarks, exceeding cited baselines.