Roby Velez

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #21,612 of 35,345 by trust here, #24,417 by citations
• Cognitive Neuroscience — 9 citations into it
• Molecular Biology — 7 citations into it
• Cellular and Molecular Neuroscience — 6 citations into it
• Model Architectures — 5 citations into it

Whom Roby Velez trusts overall

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

1. Andrea Soltoggio
2. Xin Yao
3. Jeff Clune
4. Geoffrey E. Hinton
5. Nadav Kashtan
6. Elizabeth A. Leicht
7. R. M. French
8. Kenneth O. Stanley
9. Jean-Baptiste Mouret
10. Kai Olav Ellefsen

Who trusts Roby Velez overall

1. Jeff Clune
2. Kenneth O. Stanley
3. Thomas Miconi
4. Andrea Soltoggio
5. Zixuan Ke
6. Nicolas Y. Masse

Papers from Roby Velez's perspective

Ordered by how strongly the researchers Roby Velez 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks (2017) — 52 citations