Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Dimensionality reduction for probabilistic movement primitives
Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
Learning Attractor Landscapes for Learning Motor Primitives
Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators
Programming full-body movements for humanoid robots by observation
An efficient search algorithm for motion data using weighted PCA
Learning motion manifolds with convolutional autoencoders
Coupling Movement Primitives: Interaction With the Environment and Bimanual Tasks
Learning movement primitives
An Introduction to Dimensionality Reduction Using Matlab
A survey of dimensionality reduction techniques based on random projection
Parabolic movement primitives and cortical states: merging optimality with geometric invariance
Robot Motion Planning in Learned Latent Spaces
Using PCA to Efficiently Represent State Spaces
Sparse probabilistic principal component analysis
Policy Search for Motor Primitives in Robotics
Reinforcement learning of motor skills in high dimensions: A path integral approach
A machine learning approach for feature-sensitive motion planning
Dynamic models of human motion
Dimensionality reduction: A comparative review
A survey of dimensionality reduction techniques
A grouser spacing equation for determining appropriate geometry of planetary rover wheels
Towards a Context-based Citizen Participation Approach: a Literature Review of Citizen Participation Issues and a Conceptual Framework
Compression of Deep Neural Networks for Image Instance Retrieval
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
Least-Squares Policy Iteration