diff --git a/gtsam/linear/tests/testGaussianBayesNetUnordered.cpp b/gtsam/linear/tests/testGaussianBayesNetUnordered.cpp
index 2ed33c81e..7d15f47e7 100644
--- a/gtsam/linear/tests/testGaussianBayesNetUnordered.cpp
+++ b/gtsam/linear/tests/testGaussianBayesNetUnordered.cpp
@@ -172,7 +172,7 @@ TEST(GaussianBayesNet, ComputeSteepestDescentPoint) {
 
   // Compute the gradient using dense matrices
   Matrix augmentedHessian = GaussianFactorGraph(gbn).augmentedHessian();
-  LONGS_EQUAL(11, augmentedHessian.cols());
+  LONGS_EQUAL(11, (long)augmentedHessian.cols());
   Vector denseMatrixGradient = -augmentedHessian.col(10).segment(0,10);
   EXPECT(assert_equal(gradient, denseMatrixGradient, 1e-5));
 
diff --git a/gtsam/linear/tests/testGaussianBayesTreeUnordered.cpp b/gtsam/linear/tests/testGaussianBayesTreeUnordered.cpp
index b085aa569..69977f3a4 100644
--- a/gtsam/linear/tests/testGaussianBayesTreeUnordered.cpp
+++ b/gtsam/linear/tests/testGaussianBayesTreeUnordered.cpp
@@ -254,7 +254,7 @@ TEST(GaussianBayesTree, ComputeSteepestDescentPointBT) {
 
   // Compute the gradient using dense matrices
   Matrix augmentedHessian = GaussianFactorGraph(bt).augmentedHessian();
-  LONGS_EQUAL(11, augmentedHessian.cols());
+  LONGS_EQUAL(11, (long)augmentedHessian.cols());
   Vector denseMatrixGradient = -augmentedHessian.col(10).segment(0,10);
   EXPECT(assert_equal(gradient, denseMatrixGradient, 1e-5));