Vincent Padois
Control and Systems Engineering · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 24 citations into it; #2,433 of 8,257 by trust here, #3,865 by citations
- Artificial Intelligence — 20 citations into it; #13,784 of 35,345 by trust here, #24,417 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Reinforcement Learning — 8 citations into it
- Biomedical Engineering — 5 citations into it
Whom Vincent Padois trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Schaal
- Christopher G. Atkeson
- Sethu Vijayakumar
- Jan Peters
- Teuvo Kohonen
- Andrew Barto
- Christopher K. I. Williams
- J. Snyman
- Bernhard Schölkopf
- Alex Smola
Who trusts Vincent Padois overall
Papers from Vincent Padois's perspective
Ordered by how strongly the researchers Vincent Padois trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Learning Multiple Layers of Features from Tiny Images
- Reinforcement Learning: An Introduction
Their papers
- On-line regression algorithms for learning mechanical models of robots: A survey (2011) — 150 citations
- Learning Forward Models for the Operational Space Control of Redundant Robots (2010) — 22 citations