done

.gitignore

@@ -214,4 +214,5 @@ sympy-plots-for-*.tex/
 *.upa
 *.upb
 
-# pythontex
\ No newline at end of file
+# pythontex
+/.luarc.json

dev/rebuttal/support.qmd

@@ -2,11 +2,28 @@
 format: 
     pdf:
         fontsize: 10pt
+        geometry: 
+            - top=10mm
+            - bottom=10mm
+            - left=10mm
+            - right=10mm
 ---
 
+\pagenumbering{gobble}
 
-![Turning a 6 into a 0. Top row: ECCCo. Bottom row: Wachter. The different underlying models across columns: (a) MLP, (b) Small Ensemble $n=5$, (c) Large Ensemble $n=50$, (d) LeNet-5, (e) JEM, (f) JEM Ensemble.](www/mnist_6to0_7.png){#fig-mnist-1 width="80%"}
+::: {#fig-fmnist layout="[[-1,10,-1], [-1,10,-1], [-1,10,-1], [20,-1,20,-1,20]]"}
 
-![Turning a 9 into a 7. Rows and columns as in @fig-mnist-1.](www/mnist_9to7_1.png){#fig-mnist-2 width="80%"}
+![Turning a 9 into a 7.](www/mnist_9to7_1.png){#fig-mnist-1 width="50%"}
 
-<!-- ![Turning a 4 into a 1. Top row: ECCCo. Bottom row: Wachter. The different underlying models across columns: (a) MLP, (b) Small Ensemble $n=5$, (c) Large Ensemble $n=50$, (d) LeNet-5, (e) JEM, (f) JEM Ensemble.](www/mnist_4to1_11.png){#fig-mnist-3 width="75%"} -->
\ No newline at end of file
+![Turning a 2 into a 3. ](www/mnist_2to3_14.png){#fig-mnist-2 width="50%"}
+
+![Turning a 2 into a 3.](www/mnist_4to1_12.png){#fig-mnist-3 width="50%"}
+
+![Turning a dress (left) into a trouser (right): a gap between the legs appears as expected.](www/fmnist_dress.png){#fig-fmnist-dress width="5cm"}
+
+![Turning a pullover (left) into a coat (right): it looks like a V-neck has formed.](www/fmnist_pullover.png){#fig-fmnist-pullover width="5cm"}
+
+![Turning a boot (left) into a sandal (right): pixels are darkened in the right places.](www/fmnist_boot.png){#fig-fmnist-boot width="5cm"}
+
+Qualitative examples for MNIST and Fashion-MNIST. **MNIST** (@fig-mnist-1 to @fig-mnist-3): Top row: ECCCo. Bottom row: Wachter. The different underlying models across columns: (a) MLP, (b) Small Ensemble $n=5$, (c) Large Ensemble $n=50$, (d) LeNet-5, (e) JEM, (f) JEM Ensemble. **Fashion-MNIST** (@fig-fmnist-dress to @fig-fmnist-boot): The underlying classifier is a small ensemble of 5 MLPs with one hidden layer. Counterfactuals are generated by ECCCo. 
+:::
\ No newline at end of file