diff --git a/gtsam/hybrid/HybridBayesNet.cpp b/gtsam/hybrid/HybridBayesNet.cpp
index b4bf61220..3bafe5a9c 100644
--- a/gtsam/hybrid/HybridBayesNet.cpp
+++ b/gtsam/hybrid/HybridBayesNet.cpp
@@ -129,7 +129,6 @@ std::function<double(const Assignment<Key> &, double)> prunerFunc(
 DecisionTreeFactor HybridBayesNet::pruneDiscreteConditionals(
     size_t maxNrLeaves) {
   // Get the joint distribution of only the discrete keys
-  gttic_(HybridBayesNet_PruneDiscreteConditionals);
   // The joint discrete probability.
   DiscreteConditional discreteProbs;
 
@@ -147,12 +146,11 @@ DecisionTreeFactor HybridBayesNet::pruneDiscreteConditionals(
       discrete_factor_idxs.push_back(i);
     }
   }
+
   const DecisionTreeFactor prunedDiscreteProbs =
       discreteProbs.prune(maxNrLeaves);
-  gttoc_(HybridBayesNet_PruneDiscreteConditionals);
 
   // Eliminate joint probability back into conditionals
-  gttic_(HybridBayesNet_UpdateDiscreteConditionals);
   DiscreteFactorGraph dfg{prunedDiscreteProbs};
   DiscreteBayesNet::shared_ptr dbn = dfg.eliminateSequential(discrete_frontals);
 
@@ -161,7 +159,6 @@ DecisionTreeFactor HybridBayesNet::pruneDiscreteConditionals(
     size_t idx = discrete_factor_idxs.at(i);
     this->at(idx) = std::make_shared<HybridConditional>(dbn->at(i));
   }
-  gttoc_(HybridBayesNet_UpdateDiscreteConditionals);
 
   return prunedDiscreteProbs;
 }
@@ -180,7 +177,6 @@ HybridBayesNet HybridBayesNet::prune(size_t maxNrLeaves) {
 
   HybridBayesNet prunedBayesNetFragment;
 
-  gttic_(HybridBayesNet_PruneMixtures);
   // Go through all the conditionals in the
   // Bayes Net and prune them as per prunedDiscreteProbs.
   for (auto &&conditional : *this) {
@@ -197,7 +193,6 @@ HybridBayesNet HybridBayesNet::prune(size_t maxNrLeaves) {
       prunedBayesNetFragment.push_back(conditional);
     }
   }
-  gttoc_(HybridBayesNet_PruneMixtures);
 
   return prunedBayesNetFragment;
 }
diff --git a/gtsam/hybrid/HybridGaussianFactorGraph.cpp b/gtsam/hybrid/HybridGaussianFactorGraph.cpp
index 2d4ac83f6..7a7ca0cbf 100644
--- a/gtsam/hybrid/HybridGaussianFactorGraph.cpp
+++ b/gtsam/hybrid/HybridGaussianFactorGraph.cpp
@@ -96,7 +96,6 @@ static GaussianFactorGraphTree addGaussian(
 // TODO(dellaert): it's probably more efficient to first collect the discrete
 // keys, and then loop over all assignments to populate a vector.
 GaussianFactorGraphTree HybridGaussianFactorGraph::assembleGraphTree() const {
-  gttic_(assembleGraphTree);
 
   GaussianFactorGraphTree result;
 
@@ -129,8 +128,6 @@ GaussianFactorGraphTree HybridGaussianFactorGraph::assembleGraphTree() const {
     }
   }
 
-  gttoc_(assembleGraphTree);
-
   return result;
 }