Intensity-Free Learning of Temporal Point Processes
Pip installable version of the pytorch lognormal mixture distribution from the paper "Intensity-Free Learning of Temporal Point Processes", Oleksandr Shchur, Marin Biloš and Stephan Günnemann, ICLR 2020.
Requirements
pytorch>=1.2.0
Cite
Please cite the original author's paper if you use this code in your own work
@article{
shchur2020intensity,
title={Intensity-Free Learning of Temporal Point Processes},
author={Oleksandr Shchur and Marin Bilo\v{s} and Stephan G\"{u}nnemann},
journal={International Conference on Learning Representations (ICLR)},
year={2020},
}
1 maintainer
Metadata
1 maintainer
Release files for pytorch-lognormal-mixture 0.0.1
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Built distribution (wheel)
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| pytorch_lognormal_mixture-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.7 kB
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