Seyed Mohammad Khansari-Zadeh

Control and Systems Engineering · 2010–2015

A researcher in the Science corpus: 5 papers; trusts 50 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 52 citations into it; #310 of 8,257 by trust here, #837 by citations
• Biomedical Engineering — 24 citations into it; #2,666 of 10,734 by trust here, #9,262 by citations
• Artificial Intelligence — 23 citations into it; #3,876 of 35,345 by trust here, #9,369 by citations
• Cognitive Neuroscience — 21 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Robotics & Control — 18 citations into it
• Reinforcement Learning — 17 citations into it
• Social Psychology — 16 citations into it

Whom Seyed Mohammad Khansari-Zadeh trusts overall

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

1. Stefan Schaal
2. Aude Gemma Billard
3. Sethu Vijayakumar
4. Auke Jan Ijspeert
5. Sylvain Calinon
6. P. Deb
7. Neil D. Lawrence
8. Jun Nakanishi
9. Micha Hersch
10. Florent Guenter

Who trusts Seyed Mohammad Khansari-Zadeh overall

1. Harish Chaandar Ravichandar
2. Klaus Neumann
3. Aude Gemma Billard
4. Ashwin P. Dani
5. Jochen J. Steil
6. Sergey Levine
7. Andre Lemme
8. J. Kolter
9. Takayuki Osa
10. Ana Lucia Pais

Papers from Seyed Mohammad Khansari-Zadeh's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Reinforcement Learning: An Introduction
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models (2011) — 827 citations
• BM: An iterative algorithm to learn stable non-linear dynamical systems with Gaussian mixture models (2010) — 73 citations
• Open-source benchmarking for learned reaching motion generation in robotics (2015) — 43 citations
• Learning control Lyapunov function to ensure stability of dynamical system-based robot reaching motions (2014) — 250 citations
• Imitation learning of globally stable non-linear point-to-point robot motions using nonlinear programming (2010) — 81 citations