Added slides showing convergance behaviour and variance

latex/presentations/17_01_2023/presentation.tex

@@ -14,7 +14,7 @@
 \usepackage{xcolor}
 \usepgfplotslibrary{colorbrewer}
 \usepgfplotslibrary{external} 
-\tikzexternalize[prefix=build/]
+%\tikzexternalize[prefix=build/]
 
 
 \newcommand{\templates}{../lib}
@@ -29,7 +29,7 @@
 \input{\templates/makros_own.tex}
 
 
-\title{BA Besprechung - 13.12.2022}
+\title{BA Besprechung - 17.12.2022}
 \author{Andreas Tsouchlos}
 
 \institute{Karlsruhe Institute of Technology (KIT), \\ Communications Engineering Lab (CEL) }
@@ -59,7 +59,30 @@
 
 
 \begin{document}
+    \begin{frame}[plain]
+        \maketitle
+    \end{frame}
     
+    \begin{frame}[t]
+        \frametitle{Convergance behaviour ($n=204, k=102$)}
+        
+        \begin{figure}[H]
+            \centering
+            \includegraphics[width=0.6\textwidth, trim=2cm 2cm 2cm 2cm,clip]{res/extreme_components}
+            \caption{Components with lowest $Var\left\{ \nabla h \right\} $}
+        \end{figure}
+    \end{frame}
+    
+    \begin{frame}[t]
+        \frametitle{Convergance behaviour ($n=204, k=102$)}
+        
+        \begin{figure}[H]
+            \centering
+            \includegraphics[width=0.45\textwidth]{res/variances_correlation}
+            \caption{Correlation between estimate variance and correctness}
+        \end{figure}
+    \end{frame}
+
     \begin{frame}[t]
         \frametitle{Proximal vs. Hybrid Proximal ML Approach}