diff --git a/examples/Pose2SLAMExample_graph.m b/examples/Pose2SLAMExample_graph.m
deleted file mode 100644
index 65271c053..000000000
--- a/examples/Pose2SLAMExample_graph.m
+++ /dev/null
@@ -1,47 +0,0 @@
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-% GTSAM Copyright 2010, Georgia Tech Research Corporation,
-% Atlanta, Georgia 30332-0415
-% All Rights Reserved
-% Authors: Frank Dellaert, et al. (see THANKS for the full author list)
-%
-% See LICENSE for the license information
-%
-% @brief Read graph from file and perform GraphSLAM
-% @author Frank Dellaert
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-%% Initialize graph, initial estimate, and odometry noise
-import gtsam.*
-model = noiseModel.Diagonal.Sigmas([0.05; 0.05; 5*pi/180]);
-maxID = 0;
-addNoise = false;
-smart = true;
-[graph,initial]=load2D('Data/w100-odom.graph',model,maxID,addNoise,smart);
-initial.print(sprintf('Initial estimate:\n'));
-
-%% Add a Gaussian prior on pose x_1
-import gtsam.*
-priorMean = Pose2(0.0, 0.0, 0.0); % prior mean is at origin
-priorNoise = noiseModel.Diagonal.Sigmas([0.01; 0.01; 0.01]);
-graph.addPosePrior(0, priorMean, priorNoise); % add directly to graph
-
-%% Plot Initial Estimate
-figure(1);clf
-P=initial.poses;
-plot(P(:,1),P(:,2),'g-*'); axis equal
-
-%% Optimize using Levenberg-Marquardt optimization with an ordering from colamd
-result = graph.optimize(initial,1);
-P=result.poses;
-hold on; plot(P(:,1),P(:,2),'b-*')
-result.print(sprintf('\nFinal result:\n'));
-
-%% Plot Covariance Ellipses
-marginals = graph.marginals(result);
-P={};
-for i=1:result.size()-1
-    pose_i = result.pose(i);
-    P{i}=marginals.marginalCovariance(i);
-    plotPose2(pose_i,'b',P{i})
-end
-fprintf(1,'%.5f %.5f %.5f\n',P{99})
\ No newline at end of file
diff --git a/matlab/gtsam_examples/Pose2SLAMExample_graph.m b/matlab/gtsam_examples/Pose2SLAMExample_graph.m
index 980a11cfa..cc8b38cdb 100644
--- a/matlab/gtsam_examples/Pose2SLAMExample_graph.m
+++ b/matlab/gtsam_examples/Pose2SLAMExample_graph.m
@@ -16,7 +16,10 @@ datafile = gtsam_utils.findExampleDataFile('w100-odom.graph');
 %% Initialize graph, initial estimate, and odometry noise
 import gtsam.*
 model = noiseModel.Diagonal.Sigmas([0.05; 0.05; 5*pi/180]);
-[graph,initial] = gtsam_utils.load2D(datafile, model);
+maxID = 0;
+addNoise = false;
+smart = true;
+[graph,initial] = gtsam.load2D(datafile, model, maxID, addNoise, smart);
 initial.print(sprintf('Initial estimate:\n'));
 
 %% Add a Gaussian prior on pose x_1