Seyed Reza Ahmadzadeh
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #28,732 of 35,345 by trust here, #32,362 by citations
- Control and Systems Engineering — 42 citations into it; #6,583 of 8,257 by trust here, #6,764 by citations
- Computer Vision and Pattern Recognition — 29 citations into it
- Robotics & Control — 11 citations into it
- Reinforcement Learning — 10 citations into it
- Cognitive Neuroscience — 7 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Biomedical Engineering — 5 citations into it
Whom Seyed Reza Ahmadzadeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sylvain Calinon
- Markus Schneider
- J. B. Antoine Maintz
- Anirudha Majumdar
- Auke Jan Ijspeert
- Serge J. Belongie
- Petar Kormushev
- Brenna D. Argall
- Stefan Schaal
- Sethu Vijayakumar
Who trusts Seyed Reza Ahmadzadeh overall
Papers from Seyed Reza Ahmadzadeh's perspective
Ordered by how strongly the researchers Seyed Reza Ahmadzadeh trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance (2019) — 18 citations
- Trajectory-Based Skill Learning Using Generalized Cylinders (2018) — 21 citations
- Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning (2017) — 93 citations
- Generalized Cylinders for Learning, Reproduction, Generalization, and Refinement of Robot Skills (2017) — 15 citations