Claudio Moroni

> Your system is allocating. You'll need to write a non-allocating version first (or have MTK generate it). Hello, Thanks @ChrisRackauckas for your answer. As already noted in [this issue](https://github.com/SciML/ModelingToolkit.jl/issues/685),...

Thanks @ChrisRackauckas, Are you (or anybody else) aware of a workaround that would momentarily make `modelingtoolkitize` work in this and similar scenarios? I tried not to use any user-defined function,...

Thanks @ChrisRackauckas , And sorry for the delay. Now it correctly works. The only problem is that it takes very long amounts of time to `modelingtoolkitize(problem)` when the arrays `forcing_time_series_steps...

Hello @tpapp , thanks for answering and sorry for replying so late. I implemented your fix, and it properly works for both simple models like the above one and more...

Yes, it would also be nice to have a `rand` method.

Hello, Any update on this? I think this error is related to the one spotted in [this issue](https://github.com/SciML/DiffEqBayes.jl/issues/190)

Hello, I figured out that by looking at the source code linked in the documentation, specifically at the [`calculate_dvdt`](https://allensdk.readthedocs.io/en/latest/_modules/allensdk/ephys/ephys_features.html#calculate_dvdt) function, one may conclude that a constant time stepping is needed.

Hello, Would you have any update on this?

Hello @dehann , Thank you very much for the detailed answer. So concerning point 3, if I understood correctly, if I sample from - say - a bivariate distribution of...

Hi @SherylHYX, I think the issue is a (perhaps intended) mismatch in nomenclature between the [paper](https://proceedings.neurips.cc/paper/2021/file/e32084632d369461572832e6582aac36-Paper.pdf), the [documentation](https://pytorch-geometric-signed-directed.readthedocs.io/en/latest/modules/model.html#torch_geometric_signed_directed.nn.directed.MagNet_link_prediction.MagNet_link_prediction) and the [code](https://github.com/SherylHYX/pytorch_geometric_signed_directed/blob/87fffa23183f3b8b71879948374b9a2a345d56fb/torch_geometric_signed_directed/nn/directed/MagNetConv.py#L122). Essentially, the paper and the documentation define `K` as...