diff --git a/gtsam/linear/tests/testGaussianBayesNet.cpp b/gtsam/linear/tests/testGaussianBayesNet.cpp
index fc9e52b5c..2b125265f 100644
--- a/gtsam/linear/tests/testGaussianBayesNet.cpp
+++ b/gtsam/linear/tests/testGaussianBayesNet.cpp
@@ -350,37 +350,6 @@ TEST(GaussianBayesNet, Dot) {
     "}");
 }
 
-#include <gtsam/base/serializationTestHelpers.h>
-using namespace gtsam::serializationTestHelpers;
-
-/* ****************************************************************************/
-// Test GaussianBayesNet serialization.
-TEST(GaussianBayesNet, Serialization) {
-  // Create an arbitrary Bayes Net
-  GaussianBayesNet gbn;
-  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
-      0, Vector2(1.0, 2.0), (Matrix2() << 3.0, 4.0, 0.0, 6.0).finished(), 3,
-      (Matrix2() << 7.0, 8.0, 9.0, 10.0).finished(), 4,
-      (Matrix2() << 11.0, 12.0, 13.0, 14.0).finished()));
-  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
-      1, Vector2(15.0, 16.0), (Matrix2() << 17.0, 18.0, 0.0, 20.0).finished(),
-      2, (Matrix2() << 21.0, 22.0, 23.0, 24.0).finished(), 4,
-      (Matrix2() << 25.0, 26.0, 27.0, 28.0).finished()));
-  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
-      2, Vector2(29.0, 30.0), (Matrix2() << 31.0, 32.0, 0.0, 34.0).finished(),
-      3, (Matrix2() << 35.0, 36.0, 37.0, 38.0).finished()));
-  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
-      3, Vector2(39.0, 40.0), (Matrix2() << 41.0, 42.0, 0.0, 44.0).finished(),
-      4, (Matrix2() << 45.0, 46.0, 47.0, 48.0).finished()));
-  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
-      4, Vector2(49.0, 50.0), (Matrix2() << 51.0, 52.0, 0.0, 54.0).finished()));
-
-  EXPECT(equalsObj<GaussianBayesNet>(gbn));
-  EXPECT(equalsXML<GaussianBayesNet>(gbn));
-  EXPECT(equalsBinary<GaussianBayesNet>(gbn));
-}
-
-
 /* ************************************************************************* */
 int main() {
   TestResult tr;
diff --git a/gtsam/linear/tests/testSerializationLinear.cpp b/gtsam/linear/tests/testSerializationLinear.cpp
index 881b2830e..ee21de364 100644
--- a/gtsam/linear/tests/testSerializationLinear.cpp
+++ b/gtsam/linear/tests/testSerializationLinear.cpp
@@ -198,6 +198,33 @@ TEST (Serialization, gaussian_factor_graph) {
   EXPECT(equalsBinary(graph));
 }
 
+/* ****************************************************************************/
+TEST(Serialization, gaussian_bayes_net) {
+  // Create an arbitrary Bayes Net
+  GaussianBayesNet gbn;
+  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
+      0, Vector2(1.0, 2.0), (Matrix2() << 3.0, 4.0, 0.0, 6.0).finished(), 3,
+      (Matrix2() << 7.0, 8.0, 9.0, 10.0).finished(), 4,
+      (Matrix2() << 11.0, 12.0, 13.0, 14.0).finished()));
+  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
+      1, Vector2(15.0, 16.0), (Matrix2() << 17.0, 18.0, 0.0, 20.0).finished(),
+      2, (Matrix2() << 21.0, 22.0, 23.0, 24.0).finished(), 4,
+      (Matrix2() << 25.0, 26.0, 27.0, 28.0).finished()));
+  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
+      2, Vector2(29.0, 30.0), (Matrix2() << 31.0, 32.0, 0.0, 34.0).finished(),
+      3, (Matrix2() << 35.0, 36.0, 37.0, 38.0).finished()));
+  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
+      3, Vector2(39.0, 40.0), (Matrix2() << 41.0, 42.0, 0.0, 44.0).finished(),
+      4, (Matrix2() << 45.0, 46.0, 47.0, 48.0).finished()));
+  gbn += GaussianConditional::shared_ptr(new GaussianConditional(
+      4, Vector2(49.0, 50.0), (Matrix2() << 51.0, 52.0, 0.0, 54.0).finished()));
+
+  std::string serialized = serialize(gbn);
+  GaussianBayesNet actual;
+  deserialize(serialized, actual);
+  EXPECT(assert_equal(gbn, actual));
+}
+
 /* ************************************************************************* */
 TEST (Serialization, gaussian_bayes_tree) {
   const Key x1=1, x2=2, x3=3, x4=4;