Daniel Bennequin

Cognitive Neuroscience · 2009–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it; #8,928 of 10,852 by trust here, #9,744 by citations
• Biomedical Engineering — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Control and Systems Engineering — 5 citations into it
• Social Psychology — 5 citations into it; #12,836 of 15,694 by trust here, #14,199 by citations

Whom Daniel Bennequin trusts overall

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

1. E. Todorov
2. Tamar Flash
3. Michael I. Jordan
4. Stephen H. Scott
5. D. M. Wolpert
6. Neville Hogan
7. K. Burnham
8. Paolo Viviani
9. Andre Lemme
10. Auke Jan Ijspeert

Who trusts Daniel Bennequin overall

1. Yaron Meirovitch
2. Tamar Flash

Papers from Daniel Bennequin's perspective

Ordered by how strongly the researchers Daniel Bennequin 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. The coordination of arm movements: an experimentally confirmed mathematical model
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Movement Timing and Invariance Arise from Several Geometries (2009) — 89 citations
• Geometrical Invariance and Smoothness Maximization for Task-Space Movement Generation (2016) — 39 citations