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Found 2 papers, 1 papers with code
On the Activation Function Dependence of the Spectral Bias of Neural Networks
Our empirical studies also show that neural networks with the Hat activation function are trained significantly faster using stochastic gradient descent and ADAM.
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Hence, we have considered a total of 10 different sampling methods, including six non-adaptive uniform sampling, uniform sampling with resampling, two proposed adaptive sampling, and an existing adaptive sampling.
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