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ReadMe update #166

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32 changes: 30 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -84,7 +84,36 @@ We defined several benchmark suites with shared structure.

## Citing

If you find this code useful in your research, consider citing [our manuscript](https://papers.nips.cc/paper_files/paper/2023/hash/36b80eae70ff629d667f210e13497edf-Abstract-Conference.html):
### ✨ New! ✨ On the properties and estimation of pointwise mutual information profiles

[![arXiv](https://img.shields.io/badge/arXiv-2310.10240-b31b1b.svg)](https://arxiv.org/abs/2310.10240)

In this manuscript we discuss the *pointwise mutual information profile*, an invariant which can be used to diagnose limitations of the previous mutual information benchmark, and a flexible distribution family of *Bend and Mix Models*. These distributions can be used to create *more expressive benchmark tasks* and provide *model-based Bayesian estimates* of mutual information.

Workflows:
- To run the updated version of the benchmark, using Bend and Mix Models, see [`workflows/benchmark/v2`](./workflows/benchmark/v2/).
- To reproduce the experimental results from the manuscript, see [`workflows/projects/Mixtures`](./workflows/projects/Mixtures/).

```
@article{pmi-profiles-2023,
title={On the properties and estimation of pointwise mutual information profiles},
author = {Czy\.{z}, Pawe{\l} and Grabowski, Frederic and Vogt, Julia and Beerenwinkel, Niko and Marx, Alexander},
journal={arXiv preprint arXiv:2310.10240},
year={2023}
}
```

### Beyond normal: On the evaluation of the mutual information estimators

[![arXiv](https://img.shields.io/badge/arXiv-2306.11078-b31b1b.svg)](https://arxiv.org/abs/2306.11078)
[![Venue](https://img.shields.io/badge/venue-NeurIPS_2023-darkblue)](https://neurips.cc/virtual/2023/poster/72978)
[![Manuscript](https://img.shields.io/badge/manuscript-PDF-darkblue)](https://papers.nips.cc/paper_files/paper/2023/hash/36b80eae70ff629d667f210e13497edf-Abstract-Conference.html)

In this manuscript we discuss a benchmark for mutual information estimators.

Workflows:
- To run the benchmark, see [`workflows/benchmark/v1`](./workflows/benchmark/v1).
- To reproduce the experimental results from the manuscript, see [`workflows/projects/Beyond_Normal`](./workflows/projects/Beyond_Normal/)

```
@inproceedings{beyond-normal-2023,
Expand All @@ -99,4 +128,3 @@ If you find this code useful in your research, consider citing [our manuscript](
year = {2023}
}
```

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