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This repository was archived by the owner on Oct 31, 2023. It is now read-only.
This repository was archived by the owner on Oct 31, 2023. It is now read-only.

Constants in the intensity function #8

@YuanYuan98

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@YuanYuan98

The paper states that , where is a neural network with a softplus nonlinearity applied to the output, to ensure the intensity is positive. However, the implementation is not consistent, where a sigmoid activation function is used. In addition, it is hard to understand the constants 2.0 and 50 in the following intensity calculation function.

def get_intensity(self, tpp_state): 
    return torch.sigmoid(self.intensity_fn(tpp_state[..., :self.hdim]) - 2.0) * 50

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