From f48b464beba8b8cff6add086311abbde2d1f4753 Mon Sep 17 00:00:00 2001
From: Jakob Drefs <52153848+jdrefs@users.noreply.github.com>
Date: Mon, 10 Oct 2022 18:16:49 +0200
Subject: [PATCH] Update README.md

*  Add pointer to ECML2022 paper
*  Add pointer to code ECML2022 experiments

[no ci]
---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index f893f31..0048c55 100644
--- a/README.md
+++ b/README.md
@@ -78,10 +78,10 @@ $ python setup.py install
 
 ## Related publications
 
-Jakob Drefs\*, Enrico Guiraud\*, Filippos Panagiotou, Jörg Lücke. Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. _Joint European Conference on Machine Learning and Knowledge Discovery in Databases_, Springer, Cham, 2022, accepted. \*Joint first authorship.
+Jakob Drefs\*, Enrico Guiraud\*, Filippos Panagiotou, Jörg Lücke. Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. _Joint European Conference on Machine Learning and Knowledge Discovery in Databases_, Springer, Cham, 2022, accepted. \*Joint first authorship. ([online access](https://2022.ecmlpkdd.org/wp-content/uploads/2022/09/sub_1229.pdf), [code for experiments](https://github.com/tvlearn/ecml2022))
 
-Jakob Drefs, Enrico Guiraud, Jörg Lücke. Evolutionary Variational Optimization of Generative Models. _Journal of Machine Learning Research_ 23(21):1-51, 2022. [(online access)](https://www.jmlr.org/papers/v23/20-233.html)
+Jakob Drefs, Enrico Guiraud, Jörg Lücke. Evolutionary Variational Optimization of Generative Models. _Journal of Machine Learning Research_ 23(21):1-51, 2022. ([online access](https://www.jmlr.org/papers/v23/20-233.html))
 
-Jörg Lücke, Zhenwen Dai, Georgios Exarchakis. Truncated Variational Sampling for ‘Black Box’ Optimization of Generative Models. _International Conference on Latent Variable Analysis and Signal Separation_, Springer, Cham, 2018. [(online access)](https://link.springer.com/chapter/10.1007/978-3-319-93764-9_43)
+Jörg Lücke, Zhenwen Dai, Georgios Exarchakis. Truncated Variational Sampling for ‘Black Box’ Optimization of Generative Models. _International Conference on Latent Variable Analysis and Signal Separation_, Springer, Cham, 2018. ([online access](https://link.springer.com/chapter/10.1007/978-3-319-93764-9_43))
 
-Jörg Lücke. Truncated Variational Expectation Maximization. _arXiv preprint_ arXiv:1610.03113, 2019. [(online access)](https://arxiv.org/abs/1610.03113)
+Jörg Lücke. Truncated Variational Expectation Maximization. _arXiv preprint_ arXiv:1610.03113, 2019. ([online access](https://arxiv.org/abs/1610.03113))