Seyed Mohammad

Control and Systems Engineering · 2012

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Seyed Mohammad trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stefan Schaal
  2. Auke Jan Ijspeert
  3. Henry Lieberman
  4. Hirotugu Akaike
  5. David E. Goldberg
  6. Pablo A. Parrilo
  7. Jun Nakanishi
  8. Sylvain Calinon
  9. Amir F. Atiya
  10. Peter Pastor

Who trusts Seyed Mohammad overall

  1. Klaus Neumann
  2. Andre Lemme
  3. Jochen J. Steil

Papers from Seyed Mohammad's perspective

Ordered by how strongly the researchers Seyed Mohammad trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Movement imitation with nonlinear dynamical systems in humanoid robots
  2. Learning Attractor Landscapes for Learning Motor Primitives
  3. Is imitation learning the route to humanoid robots?
  4. ImageNet classification with deep convolutional neural networks
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Learning and generalization of motor skills by learning from demonstration
  7. Learning Movement Primitives
  8. Estimating the Dimension of a Model
  9. Long Short-Term Memory
  10. Central pattern generators for locomotion control in animals and robots: A review

Their papers