diff --git a/.gitignore b/.gitignore
index 66c97be110009856c9648c45dac402b12daa0619..e4420b30c1c50c3d6cd4fe1943f860a3f05ffbc7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -214,4 +214,5 @@ sympy-plots-for-*.tex/
 *.upa
 *.upb
 
-# pythontex
\ No newline at end of file
+# pythontex
+/.luarc.json
diff --git a/dev/rebuttal/support.pdf b/dev/rebuttal/support.pdf
index 28566e51663c31caef6c495e8b2c13c3d078d88e..b6a6ba86c97bcfaea8e5405c50a1c4d88d0b1914 100644
Binary files a/dev/rebuttal/support.pdf and b/dev/rebuttal/support.pdf differ
diff --git a/dev/rebuttal/support.qmd b/dev/rebuttal/support.qmd
index 0658fdc26760c3e1d54f15e22cca2636363396a8..2153272941537d12b5d9687e823ce0da5619a5d6 100644
--- a/dev/rebuttal/support.qmd
+++ b/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
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diff --git a/dev/rebuttal/www/mnist_9to7_3.png b/dev/rebuttal/www/mnist_9to7_3.png
index 0ebeccfc30999cbf95238ea17f2c4a7e0c3b3414..505b8fc345892dcd4e92e82ce8e9ee0ccdab40a5 100644
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diff --git a/notebooks/fmnist.qmd b/notebooks/fmnist.qmd
index bf73c90d1d3a8ce68f8807ca2b18aca394bea493..d10e88b46754b293ea020e8fe84c7fc0cc7b4fc9 100644
--- a/notebooks/fmnist.qmd
+++ b/notebooks/fmnist.qmd
@@ -177,8 +177,21 @@ model_performance
 ```
 
 ```{julia}
+label_names = [
+    "T-shirt/top",
+    "Trouser",
+    "Pullover",
+    "Dress",
+    "Coat",
+    "Sandal",
+    "Shirt",
+    "Sneaker",
+    "Bag",
+    "Boot",
+]
+
 function plot_fmnist(
-    x::Union{AbstractArray, Int}=x_factual, target::Int=target;
+    x::Int=3, targets::Vector{Int}=[1];
     generator = ECCCoGenerator(),
     rng::Union{Int,AbstractRNG}=Random.GLOBAL_RNG,
     T::Int = 100,
@@ -186,16 +199,15 @@ function plot_fmnist(
     model=model_dict["Ensemble"],
     img_height::Int = img_height,
     test_data::Bool = false,
+    init::Symbol = :identity,
+    noise::Float32 = 0.0f0,
     kwrgs...,
 )
 
     # Setup:
     Random.seed!(rng)
-    if x isa Int
-        x_fact = counterfactual_data.X[:,rand(findall(labels.==x))][:,:]
-    else
-        x_fact = x
-    end
+    x_fact = counterfactual_data.X[:,rand(findall(labels.==x))][:,:]
+    x_fact = pre_process(x_fact, noise=noise)
 
     if test_data
         data = load_mnist_test()
@@ -203,30 +215,36 @@ function plot_fmnist(
         data = counterfactual_data
     end
 
-    ce = generate_counterfactual(
-        x_fact, target, data, model, generator; 
-        decision_threshold=γ, max_iter=T,
-        initialization=:identity,
-        converge_when=:generator_conditions,
-    )
-
     # Plot:
     p1 = Plots.plot(
         convert2image(MNIST, reshape(x_fact,28,28)),
         axis=([], false),
         size=(img_height, img_height),
-        title="Factual"
+        title="$(label_names[x+1]) (factual)",
+        dpi=300
     )
 
-    _x = CounterfactualExplanations.counterfactual(ce)
-    p2 = Plots.plot(
-        convert2image(MNIST, reshape(_x,28,28)),
-        axis=([], false), 
-        size=(img_height, img_height),
-        title="Counterfactual"
-    )
-
-    plt = Plots.plot(p1, p2; size=(img_height*2,img_height), layout=(1,2), kwrgs...)
+    plts = [p1]
+
+    for t in targets
+        ce = generate_counterfactual(
+            x_fact, t, data, model, generator; 
+            decision_threshold=γ, max_iter=T,
+            initialization=init,
+            converge_when=:generator_conditions,
+        )
+        _x = CounterfactualExplanations.counterfactual(ce)
+        plt = Plots.plot(
+            convert2image(MNIST, reshape(_x,28,28)),
+            axis=([], false), 
+            size=(img_height, img_height),
+            title="$(label_names[t+1])", 
+            dpi=300
+        )
+        plts = [plts..., plt]
+    end
+    
+    plt = Plots.plot(plts..., size=(img_height*length(plts),img_height), layout=(1,length(plts)), kwrgs...)
     
     return plt
 end
@@ -235,7 +253,27 @@ end
 
 
 ```{julia}
-rng = rand(1:10000)
-factual = 3
-plt = plot_fmnist(3, 1, rng=rng)
-```
\ No newline at end of file
+rng = 42
+gen = ECCCoGenerator(
+    λ=[0.1,0.30,0.30], 
+    nsamples=25,
+    nmin=10,
+)
+plts = []
+
+plt = plot_fmnist(3, [1]; rng=rng, generator=gen, img_height=200)
+display(plt)
+push!(plts, plt)
+savefig(plt, "dev/rebuttal/www/fmnist_dress.png")
+
+plt = plot_fmnist(9, [5]; rng=rng, generator=gen, img_height=200)
+display(plt)
+push!(plts, plt)
+savefig(plt, "dev/rebuttal/www/fmnist_boot.png")
+
+plt = plot_fmnist(2, [4]; rng=rng, generator=gen, img_height=200)
+display(plt)
+push!(plts, plt)
+savefig(plt, "dev/rebuttal/www/fmnist_pullover.png")
+```
+
diff --git a/notebooks/mnist.qmd b/notebooks/mnist.qmd
index 578a2d18753aff439148f68fe0ad363b71a5b6fa..2d88f306a27ef313f91998472fa8b4fa17461300 100644
--- a/notebooks/mnist.qmd
+++ b/notebooks/mnist.qmd
@@ -613,9 +613,9 @@ display(plt_additional_models)
 ```
 
 ```{julia}
-Random.seed!(2023)
+Random.seed!(123)
 
-λ = [0.1,0.215,0.215]
+λ = [0.1,0.22,0.22]
 
 wachter = WachterGenerator(
     λ=λ[1], 
@@ -624,13 +624,18 @@ wachter = WachterGenerator(
 
 combos = [
     (9,7),
+    (7,2),
     (6,0),
     (4,1),
     (2,3),
     (5,8),
+    (6,5),
+    (1,7),
+    (1,4),
+    (0,3)
 ]
 
-n_each = 2
+n_each = 3
 combos = reduce(vcat, [fill(c, n_each) for c in combos])
 
 plts_eccco = []
@@ -684,7 +689,7 @@ for (i, (factual, target)) in enumerate(combos)
     p1 = plts_eccco[i]
     p2 = plts_wachter[i]
     plt = Plots.plot(
-        p1, p2, layout=(2,1), plot_title="Factual: $factual, Target: $target",
+        p1, p2, layout=(2,1),
         size = (1200, 400),
     )
     display(plt)