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Found 2 papers, 2 papers with code
Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere
Sparse deep neural networks have shown their advantages over dense models with fewer parameters and higher computational efficiency.
Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation
The experiment of trajectory estimation demonstrates the convergence of AdaTE, and the better robust to the biased prior statistics and the observation drift compared with EKF, UKF and sparse MAP.
Information Theory Robotics Systems and Control Systems and Control Information Theory G.3.13; J.2.7
