💥 Flash Linear Attention brings together hardware-efficient building blocks, training-ready layers, and components for modern sequence models, spanning linear attention, sparse attention, state space ...
Abstract: To improve the acceleration performance, a hybrid state-triggered discretization (HSTD) is proposed for the adaptive gradient neural network (AGNN) for solving time-dependent linear ...
Abstract: The effective solution of system of nonlinear equations (SNEs) is crucial for the creation of engineering and scientific models. SNEs can be represented and analyzed as an optimization ...
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