diff --git a/src/ensemble/ensemble.py b/src/ensemble/ensemble.py
index 356cd66..f021336 100644
--- a/src/ensemble/ensemble.py
+++ b/src/ensemble/ensemble.py
@@ -405,10 +405,15 @@ def run_on_HPC(self, enX, batch_size=None, **kwargs):
             # Extract the results. Need a local counter to check the results in the correct order
             for c_member, member_i in enumerate([list_member_index[curr_n] for curr_n in n_e]):
                 if sim_status[c_member]:
-                    self.sim.extract_data(member_i)
-                    en_pred.append(deepcopy(self.sim.pred_data))
-                    if self.sim.saveinfo is not None:  # Try to save information
-                        at.store_ensemble_sim_information(self.sim.saveinfo, member_i)
+                    try:
+                        self.sim.extract_data(member_i)
+                        en_pred.append(deepcopy(self.sim.pred_data))
+                        if self.sim.saveinfo is not None:  # Try to save information
+                            at.store_ensemble_sim_information(self.sim.saveinfo, member_i)
+                    except Exception as e:
+                        print(f"Error extracting data for ensemble member {member_i}: {e}")
+                        self.logger.error(f"Error extracting data for ensemble member {member_i}: {e}")
+                        en_pred.append(False)
                 else:
                     en_pred.append(False)
                 self.sim.remove_folder(member_i)
diff --git a/src/popt/loop/ensemble_gaussian.py b/src/popt/loop/ensemble_gaussian.py
index 57595a8..0a7e68e 100644
--- a/src/popt/loop/ensemble_gaussian.py
+++ b/src/popt/loop/ensemble_gaussian.py
@@ -91,7 +91,10 @@ def gradient(self, x, *args, **kwargs):
 
         # Truncate to bounds
         if (self.lb is not None) and (self.ub is not None):
-            enX = np.clip(enX, self.lb[:, None], self.ub[:, None])
+            if self.transform:
+                enX = np.clip(enX, 0.0, 1.0)
+            else:
+                enX = np.clip(enX, self.lb[:, None], self.ub[:, None])
 
         # Evaluate objective function for ensemble
         enF = self.function(enX, *args, **kwargs)