iLampard

> Hi, no worries, here is the explanation https://github.com/shchur/ifl-tpp#mistakes-in-the-old-version Hi, can you kindly explain a bit more why we can not divide NLL by the real number of events in...

> As a simple example, consider a homogenous Poisson process with rate λ on an interval [0,T]. Suppose we have observed two sequences generates by this TPP - first containing...

Hi, Have your problem fixed? can you have a look at this [issue](https://github.com/microsoft/DeepSpeed/issues/5132) from deepspeed to see if you can fix it.

Hi, For IFTPP, we have to follow the original author's approach to do the sampling, which is in fact not compatible with our current framework. Thats why the master branch...

we will look at the multi-step generation code and get back to you shortly

thanks for point this. Let me test it.

i add this line. exp_numbers = torch.cumsum(exp_numbers, dim=-1), but i found the results become event more clustered. i am still working on this issue. will get back to you when...

Hi， Thanks for the analysis. It is a great job. I do notice that the accumulation of dt sampling is missing in the code. Im working on check the bug...