Samuel Alvernaz

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #11,740 of 35,345 by trust here, #29,412 by citations
• Reinforcement Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Samuel Alvernaz trusts overall

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

1. Nikolaus Hansen
2. Sascha Lange
3. Geoffrey E. Hinton
4. Kenneth O. Stanley
5. Martin A. Riedmiller
6. Giuseppe Cuccu
7. J. Urgen Schmidhuber
8. Tim Salimans
9. Jan Koutník
10. Volodymyr Mnih

Who trusts Samuel Alvernaz overall

1. David R Ha
2. Niels Justesen
3. Alexandre Heuillet
4. Timothée Lesort
5. Natalia Díaz Rodríguez
6. J. Urgen Schmidhuber
7. Sebastian Risi
8. Sergey I. Nikolenko
9. Fabien Couthouis
10. Jean-François Goudou

Papers from Samuel Alvernaz's perspective

Ordered by how strongly the researchers Samuel Alvernaz 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Autoencoder-augmented neuroevolution for visual doom playing (2017) — 63 citations