diff --git a/kronfluence/module/tracked_module.py b/kronfluence/module/tracked_module.py
index 607484a..30523ef 100644
--- a/kronfluence/module/tracked_module.py
+++ b/kronfluence/module/tracked_module.py
@@ -316,7 +316,9 @@ def backward_hook(output_gradient: torch.Tensor) -> None:
         self._registered_hooks.append(self.original_module.register_forward_hook(forward_hook))
 
         if self.factor_args.immediate_gradient_removal:
-            self._registered_hooks.append(self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook))
+            self._registered_hooks.append(
+                self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook)
+            )
 
     def _release_covariance_matrices(self) -> None:
         """Clears the stored activation and pseudo-gradient covariance matrices from memory."""
@@ -491,7 +493,9 @@ def backward_hook(output_gradient: torch.Tensor) -> None:
         self._registered_hooks.append(self.original_module.register_forward_hook(forward_hook))
 
         if self.factor_args.immediate_gradient_removal:
-            self._registered_hooks.append(self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook))
+            self._registered_hooks.append(
+                self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook)
+            )
 
     def _release_lambda_matrix(self) -> None:
         """Clears the stored Lambda matrix from memory."""
@@ -607,7 +611,9 @@ def backward_hook(output_gradient: torch.Tensor) -> None:
         self._registered_hooks.append(self.original_module.register_forward_hook(forward_hook))
 
         if self.factor_args.immediate_gradient_removal:
-            self._registered_hooks.append(self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook))
+            self._registered_hooks.append(
+                self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook)
+            )
 
     def _release_preconditioned_gradient(self) -> None:
         """Clears the preconditioned per-sample-gradient from memory."""
@@ -727,7 +733,9 @@ def backward_hook(output_gradient: torch.Tensor) -> None:
         self._registered_hooks.append(self.original_module.register_forward_hook(forward_hook))
 
         if self.factor_args.immediate_gradient_removal:
-            self._registered_hooks.append(self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook))
+            self._registered_hooks.append(
+                self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook)
+            )
 
     def _register_self_score_hooks(self) -> None:
         """Installs forward and backward hooks for computation of self-influence scores."""
@@ -785,7 +793,9 @@ def backward_hook(output_gradient: torch.Tensor) -> None:
         self._registered_hooks.append(self.original_module.register_forward_hook(forward_hook))
 
         if self.factor_args.immediate_gradient_removal:
-            self._registered_hooks.append(self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook))
+            self._registered_hooks.append(
+                self.original_module.register_full_backward_hook(full_backward_gradient_removal_hook)
+            )
 
     def release_scores(self) -> None:
         """Clears the influence scores from memory."""