Metadata-Version: 2.1
Name: pytorch_lognormal_mixture
Version: 0.0.1
Summary: A pip installable version of the lognormal mixture distribution from https://github.com/shchur/ifl-tpp/tree/master/code
Author: Matthew McDermott; Original: Oleksandr Shchur, Marin Bilos, Stephan Guennemann
Author-email: "Matthew B. A. McDermott" <mattmcdermott8@gmail.com>
Project-URL: Homepage, https://github.com/mmcdermott/pytorch_lognormal_mixture
Project-URL: Bug Tracker, https://github.com/mmcdermott/pytorch_lognormal_mixture/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE

# 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"](https://openreview.net/forum?id=HygOjhEYDH), 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},
}
```
