diff --git a/code/setups/fixpoint-density.py b/code/setups/fixpoint-density.py
index f7ca465..3751788 100644
--- a/code/setups/fixpoint-density.py
+++ b/code/setups/fixpoint-density.py
@@ -36,7 +36,7 @@ if __name__ == '__main__':
         net_generators = []
         for activation in ['linear', 'sigmoid', 'relu']:
             net_generators += [lambda activation=activation: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
-            net_generators += [lambda activation=activation: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
+            # net_generators += [lambda activation=activation: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
             # net_generators += [lambda activation=activation: FFTNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
             # net_generators += [lambda activation=activation: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=False)]
         all_counters = []
diff --git a/code/setups/learn_from_soup.py b/code/setups/learn_from_soup.py
index c002b1c..c925707 100644
--- a/code/setups/learn_from_soup.py
+++ b/code/setups/learn_from_soup.py
@@ -61,15 +61,15 @@ def count(counters, soup, notable_nets=[]):
 
 with SoupExperiment('learn-from-soup') as exp:
     exp.soup_size = 10
-    exp.soup_life = 1000
-    exp.trials = 20
+    exp.soup_life = 100
+    exp.trials = 10
     exp.learn_from_severity_values = [10 * i for i in range(11)]
     exp.epsilon = 1e-4
     net_generators = []
     for activation in ['sigmoid']: #['linear', 'sigmoid', 'relu']:
         for use_bias in [False]:
             net_generators += [lambda activation=activation, use_bias=use_bias: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
-            net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
+            # net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
             # net_generators += [lambda activation=activation, use_bias=use_bias: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
 
     all_names = []
diff --git a/code/setups/mixed-self-fixpoints.py b/code/setups/mixed-self-fixpoints.py
index c8564fb..1d018b5 100644
--- a/code/setups/mixed-self-fixpoints.py
+++ b/code/setups/mixed-self-fixpoints.py
@@ -61,7 +61,7 @@ if __name__ == '__main__':
         for activation in ['linear']:  # , 'sigmoid', 'relu']:
             for use_bias in [False]:
                 net_generators += [lambda activation=activation, use_bias=use_bias: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
-                net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
+                # net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
                 # net_generators += [lambda activation=activation, use_bias=use_bias: FFTNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
                 # net_generators += [lambda activation=activation, use_bias=use_bias: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
 
diff --git a/code/setups/mixed-soup.py b/code/setups/mixed-soup.py
index 70d3f04..998fde4 100644
--- a/code/setups/mixed-soup.py
+++ b/code/setups/mixed-soup.py
@@ -54,7 +54,7 @@ def count(counters, soup, notable_nets=[]):
 
 
 with Experiment('mixed-self-fixpoints') as exp:
-    exp.trials = 100
+    exp.trials = 10
     exp.soup_size = 10
     exp.soup_life = 5
     exp.trains_per_selfattack_values = [10 * i for i in range(11)]
diff --git a/code/setups/training-fixpoints.py b/code/setups/training-fixpoints.py
index c44bc80..5467beb 100644
--- a/code/setups/training-fixpoints.py
+++ b/code/setups/training-fixpoints.py
@@ -40,7 +40,7 @@ if __name__ == '__main__':
         for activation in ['linear']:  # , 'sigmoid', 'relu']:
             for use_bias in [False]:
                 net_generators += [lambda activation=activation, use_bias=use_bias: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
-                net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
+                # net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
                 # net_generators += [lambda activation=activation, use_bias=use_bias: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
         all_counters = []
         all_notable_nets = []