diff --git a/dingo/bindings/bindings.cpp b/dingo/bindings/bindings.cpp
index 772a0aa7..b5549900 100644
--- a/dingo/bindings/bindings.cpp
+++ b/dingo/bindings/bindings.cpp
@@ -146,9 +146,9 @@ double HPolytopeCPP::apply_sampling(int walk_len,
       exponential_sampling<ExponentialHamiltonianMonteCarloExactWalk>(rand_points, HP, rng, walk_len, number_of_points, bias_vector, variance,
                                    starting_point, number_of_points_to_burn);
    } else if (method == 10) { // HMC with Gaussian distribution   
-      rand_points = hmc_leapfrog_gaussian<Hpolytope>(walk_len, number_of_points, number_of_points_to_burn, samples, variance, bias_vector_, inner_point, radius, HP);                             
+      rand_points = hmc_leapfrog_gaussian<Hpolytope>(walk_len, number_of_points, number_of_points_to_burn, samples, variance, bias_vector_, starting_point, HP);                             
    } else if (method == 11) { // HMC with exponential distribution
-      rand_points = hmc_leapfrog_exponential<Hpolytope>(walk_len, number_of_points, number_of_points_to_burn, samples, variance, bias_vector_, inner_point, radius, HP);                            
+      rand_points = hmc_leapfrog_exponential<Hpolytope>(walk_len, number_of_points, number_of_points_to_burn, samples, variance, bias_vector_, starting_point, HP);                            
    }   
    else {
       throw std::runtime_error("This function must not be called.");
diff --git a/dingo/bindings/hmc_sampling.h b/dingo/bindings/hmc_sampling.h
index db68d771..7bf4bb64 100644
--- a/dingo/bindings/hmc_sampling.h
+++ b/dingo/bindings/hmc_sampling.h
@@ -13,22 +13,9 @@ template<class Polytope> list<Point> hmc_leapfrog_gaussian(int walk_len,
                                     double* samples,
                                     double variance,
                                     double* bias_vector_,
-                                    double* inner_point,
-                                    double radius,
+                                    Point starting_point,
                                     Polytope HP) {
                                     
-   int d = HP.dimension();                                                                     
-   Point starting_point; 
-   VT inner_vec(d);
-
-   for (int i = 0; i < d; i++){
-      inner_vec(i) = inner_point[i];
-   }
-   
-   Point inner_point2(inner_vec); 
-   CheBall = std::pair<Point, NT>(inner_point2, radius);
-   HP.set_InnerBall(CheBall);
-   starting_point = inner_point2;
    
    std::list<Point> rand_points;                                 
    typedef GaussianFunctor::GradientFunctor<Point> NegativeGradientFunctor;
@@ -65,21 +52,9 @@ template<class Polytope> list<Point> hmc_leapfrog_exponential(int walk_len,
                                     double* samples,
                                     double variance,
                                     double* bias_vector_,
-                                    double* inner_point,
-                                    double radius,
+                                    Point starting_point,
                                     Polytope HP) {
 
-   Point starting_point; 
-   VT inner_vec(d);
-
-   for (int i = 0; i < d; i++){
-      inner_vec(i) = inner_point[i];
-   }
-   
-   Point inner_point2(inner_vec); 
-   CheBall = std::pair<Point, NT>(inner_point2, radius);
-   HP.set_InnerBall(CheBall);
-   starting_point = inner_point2;
    std::list<Point> rand_points;                                 
    typedef ExponentialFunctor::GradientFunctor<Point> NegativeGradientFunctor;
    typedef ExponentialFunctor::FunctionFunctor<Point> NegativeLogprobFunctor;