Ashwin P. Dani

Control and Systems Engineering · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 28 citations into it; #5,193 of 8,257 by trust here, #7,831 by citations
• Artificial Intelligence — 24 citations into it; #23,810 of 35,345 by trust here, #34,213 by citations
• Reinforcement Learning — 12 citations into it
• Cognitive Neuroscience — 9 citations into it
• Biomedical Engineering — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Ashwin P. Dani trusts overall

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

1. Seyed Mohammad Khansari-Zadeh
2. Stefan Schaal
3. Aude Gemma Billard
4. Klaus Neumann
5. Wei Wang
6. Jangwon Lee
7. Ales Ude
8. Bojan Nemec
9. Anca Dragan
10. Barış Akgün

Who trusts Ashwin P. Dani overall

1. Harish Chaandar Ravichandar

Papers from Ashwin P. Dani's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Learning and generalization of motor skills by learning from demonstration
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Is imitation learning the route to humanoid robots?
5. Reinforcement Learning: An Introduction
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning position and orientation dynamics from demonstrations via contraction analysis (2018) — 45 citations
• Learning Partially Contracting Dynamical Systems from Demonstrations (2017) — 67 citations