Renaud Detry

Artificial Intelligence · 2009–2016

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #15,287 of 35,345 by trust here, #15,866 by citations
• Control and Systems Engineering — 25 citations into it; #1,790 of 8,257 by trust here, #1,475 by citations
• Reinforcement Learning — 20 citations into it
• Biomedical Engineering — 17 citations into it; #3,154 of 10,734 by trust here, #5,494 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #17,289 of 21,575 by trust here, #19,310 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Algorithms & Complexity — 5 citations into it
• Mechanical Engineering — 5 citations into it

Whom Renaud Detry trusts overall

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

1. Judea Pearl
2. Andrew T. A. Wood
3. Antonio Bicchi
4. Dorin Comaniciu
5. Bernard Walter Silverman
6. Radford M. Neal
7. Dimitri P. Bertsekas
8. Richard S. Sutton
9. Ben J. A. Kröse
10. Robert D. Kleinberg

Who trusts Renaud Detry overall

1. Thomas Lampe
2. Sergey Levine
3. Oliver Kroemer
4. Luis Montesano
5. Martin A. Riedmiller
6. Jeannette Bohg
7. Rico Jonschkowski
8. Peter Pastor
9. George Dimitri Konidaris
10. Christian Daniel

Papers from Renaud Detry's perspective

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

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

Their papers

• Combining active learning and reactive control for robot grasping (2010) — 173 citations
• Learning grasp affordance densities (2011) — 95 citations
• Active learning using mean shift optimization for robot grasping (2009) — 34 citations
• Learning Visual Representations for Interactive Systems (2009) — 11 citations
• One-shot learning and generation of dexterous grasps for novel objects (2016) — 139 citations
• Learning visual representations for perception-action systems (2011) — 41 citations