Little confusion

[zhangchushu]

Hi! I am really appreciated that your great work including the code and dataset are all released. According to the paper and the released code, I have two little confusion about the implementation.

1. The kernel function is learned by MLP, which takes the coordinates and time stamp of an event as input and produces an activation map around it. In the code, I refer this part to the "ValueLayer" implementation, which only take the t as input and produces the measurement directly. I can't figure it out how they are matched. If this implementation is the modified version, will this change improve the final performance?
2. About the Look-up table, the "t" is assigned a float value, making the countless possibilities. And still，I am confused about the implementation, which is not present in the released code. I would be really appreciated that if you could reply to me and this could be really helpful to my current research work. Best wishes