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This paper update presents a universal sequence preconditioning method achieving dimension-free regret bounds for marginally stable linear dynamical systems, using second-order VAW algorithm and Faber polynomials.
This paper proposes a novel complex-valued gated recurrent unit (GRU) architecture with multiplicative product units (AM-PU-GRU) for predicting nuclear masses, achieving state-of-the-art interpolation and extrapolation accuracy on the Atomic Mass Evaluation datasets.