diff --git a/docs/src/index.md b/docs/src/index.md
index abc927b..cf078af 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -8,18 +8,22 @@ This package provides a framework for the method ANOVAapprox to approximate high
 <ul>
   <li>D. Potts und M. Schmischke <br> 
   <b>Interpretable transformed ANOVA approximation on the example of the prevention of forest fires</b> <br>
-  <a href="https://arxiv.org/abs/2110.07353">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/anovatransf.pdf">PDF</a></li>
+  <a href="https://arxiv.org/abs/2110.07353">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~mischmi/papers/transformedanova.pdf">PDF</a></li>
+  <li>F. Bartel, D. Potts und M. Schmischke <br> 
+  <b>Grouped transformations and Regularization in high-dimensional explainable ANOVA approximation</b> <br>
+  SIAM Journal on Scientific Computing (accepted) <br>
+  <a href="https://arxiv.org/abs/2010.10199">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~mischmi/papers/groupedtransforms.pdf">PDF</a></li>
   <li>D. Potts und M. Schmischke <br> 
   <b>Interpretable approximation of high-dimensional data</b> <br>
   SIAM Journal on Mathematics of Data Science (accepted) <br>
-  <a href="https://arxiv.org/abs/2103.13787">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/intanova.pdf">PDF</a>, <a href="https://github.com/NFFT/AttributeRankingExamples">Software</a></li>
+  <a href="https://arxiv.org/abs/2103.13787">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~mischmi/papers/attributeranking.pdf">PDF</a>, <a href="https://github.com/NFFT/AttributeRankingExamples">Software</a></li>
   <li>D. Potts und M. Schmischke <br> 
   <b>Learning multivariate functions with low-dimensional structures using polynomial bases</b><br>
   Journal of Computational and Applied Mathematics 403, 113821, 2021<br>
-  <a href="https://doi.org/10.1016/j.cam.2021.113821">DOI</a>, <a href="https://arxiv.org/abs/1912.03195">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/ANOVA_T.pdf">PDF</a></li>
+  <a href="https://doi.org/10.1016/j.cam.2021.113821">DOI</a>, <a href="https://arxiv.org/abs/1912.03195">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~mischmi/papers/anovacube.pdf">PDF</a></li>
   <li>D. Potts und M. Schmischke <br> 
   <b>Approximation of high-dimensional periodic functions with Fourier-based methods</b><br>
   SIAM Journal on Numerical Analysis 59 (5), 2393-2429, 2021<br>
-  <a href="https://doi.org/10.1137/20M1354921">DOI</a>, <a href="https://arxiv.org/abs/1907.11412">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~potts/paper/anova.pdf">PDF</a></li>
+  <a href="https://doi.org/10.1137/20M1354921">DOI</a>, <a href="https://arxiv.org/abs/1907.11412">arXiv</a>, <a href="https://www-user.tu-chemnitz.de/~mischmi/papers/anovafourier.pdf">PDF</a></li>
 </ul>
 ```
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