diff --git a/bofire/data_models/dataframes/dataframes.py b/bofire/data_models/dataframes/dataframes.py
index aefb0f4d..255402a2 100644
--- a/bofire/data_models/dataframes/dataframes.py
+++ b/bofire/data_models/dataframes/dataframes.py
@@ -36,7 +36,7 @@ class ExperimentOutputValue(OutputValue):
 
 
 class CandidateOutputValue(OutputValue):
-    value: Optional[Value] = Field(description="The predicted value.")
+    value: Value = Field(description="The predicted value.")
     standard_deviation: float
     objective_value: float
 
diff --git a/bofire/data_models/surrogates/shape.py b/bofire/data_models/surrogates/shape.py
index 5ce9d64f..b6cf27ac 100644
--- a/bofire/data_models/surrogates/shape.py
+++ b/bofire/data_models/surrogates/shape.py
@@ -31,9 +31,9 @@
 
 
 class PiecewiseLinearGPSurrogateHyperconfig(Hyperconfig):
-    type: Literal[
+    type: Literal["PiecewiseLinearGPSurrogateHyperconfig"] = (  # type: ignore
         "PiecewiseLinearGPSurrogateHyperconfig"
-    ] = "PiecewiseLinearGPSurrogateHyperconfig"
+    )
     inputs: Inputs = Inputs(
         features=[
             CategoricalInput(
@@ -44,9 +44,9 @@ class PiecewiseLinearGPSurrogateHyperconfig(Hyperconfig):
         ]
     )
     target_metric: RegressionMetricsEnum = RegressionMetricsEnum.MAE
-    hyperstrategy: Literal[
-        "FactorialStrategy", "SoboStrategy", "RandomStrategy"
-    ] = "FactorialStrategy"
+    hyperstrategy: Literal["FactorialStrategy", "SoboStrategy", "RandomStrategy"] = (
+        "FactorialStrategy"
+    )
 
     @staticmethod
     def _update_hyperparameters(
@@ -112,7 +112,7 @@ class PiecewiseLinearGPSurrogate(TrainableBotorchSurrogate):
         hyperconfig: The hyperconfig that is used for training the GP.
     """
 
-    type: Literal["PiecewiseLinearGPSurrogate"] = "PiecewiseLinearGPSurrogate"
+    type: Literal["PiecewiseLinearGPSurrogate"] = "PiecewiseLinearGPSurrogate"  # type: ignore
     interpolation_range: Bounds
     n_interpolation_points: PositiveInt = 1000
     x_keys: list[str]
@@ -122,7 +122,7 @@ class PiecewiseLinearGPSurrogate(TrainableBotorchSurrogate):
     append_x: Annotated[List[float], AfterValidator(validate_monotonically_increasing)]
     prepend_y: Annotated[List[float], AfterValidator(validate_monotonically_increasing)]
     append_y: Annotated[List[float], AfterValidator(validate_monotonically_increasing)]
-    hyperconfig: Optional[PiecewiseLinearGPSurrogateHyperconfig] = Field(
+    hyperconfig: Optional[PiecewiseLinearGPSurrogateHyperconfig] = Field(  # type: ignore
         default_factory=lambda: PiecewiseLinearGPSurrogateHyperconfig()
     )
 
diff --git a/bofire/utils/torch_tools.py b/bofire/utils/torch_tools.py
index d6a9269b..e87e19b4 100644
--- a/bofire/utils/torch_tools.py
+++ b/bofire/utils/torch_tools.py
@@ -638,7 +638,7 @@ def generator(n: int, q: int, seed: int) -> Tensor:
     return generator
 
 
-@torch.jit.script
+@torch.jit.script  # type: ignore
 def interp1d(
     x: torch.Tensor,
     y: torch.Tensor,