Update about.md

Ahcene-B · Aug 31, 2024 · 10d428b · 10d428b
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@@ -34,6 +34,15 @@ I am interested in explainable ai, unsupervised learning, representation learnin
 ### publications
 
 <ul>
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+  <li>
+    S. Gautam, A. Boubekki, M. Höhne, M. Kampffmeyer . Prototypical Self-Explainable Models Without Re-training. Transactions on Machine Learning Research (2024). [<a href="https://openreview.net/pdf?id=HU5DOUp6Sa">link</a>]
+  <li>
+
+  <li>
+    R. Clark et al. EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods (2024). [<a href="https://arxiv.org/pdf/2405.12261">link</a>]
+  <li>
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   <li>
     R. Kjærsgaard, A. Boubekki, L.H. Clemmensen. Pantypes: Diverse Representatives for Self-Explainable Models. AAAI Conference on Artificial Intelligence (2024). [<a href="https://github.com/Ahcene-B/ahcene-b.github.io/blob/main/_data/Pantypes_AAAI.pdf">link</a>]
   <li>
@@ -117,6 +126,6 @@ Engineering (2023). [<a href="https://www.mdpi.com/2077-1312/11/11/2085/pdf">lin
   </li>
 
   <li>
-    Delacroix T., Boubekki A., An application of multiple behavior SIA for analyzing data from student exams, in The SIA Approach for Semantic and non-Symmetric Data Analysis, Régnier, Almouloud & Gras (Eds), Educaçao Matematica Pesquisa, Sao Paulo, v.16, n.3, pp.773-794, 2014. 
+    Delacroix T., Boubekki A., An application of multiple behavior SIA for analyzing data from student exams, in The SIA Approach for Semantic and non-Symmetric Data Analysis, Régnier, Almouloud & Gras (Eds), Educaçao Matematica Pesquisa, Sao Paulo, v.16, n.3, pp.773-794, 2014. [<a href="https://github.com/Ahcene-B/ahcene-b.github.io/blob/main/_data/21579-Texto do artigo-55337-1-10-20141218.pdf">link</a>]
   </li>
 </ul>