Adrien Laversanne-Finot

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #18,904 of 35,345 by trust here, #20,377 by citations
• Reinforcement Learning — 13 citations into it; #1,381 of 2,242 by trust here, #1,689 by citations
• Control and Systems Engineering — 7 citations into it; #3,886 of 8,257 by trust here, #3,255 by citations

Whom Adrien Laversanne-Finot trusts overall

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

1. J. Urgen Schmidhuber
2. Adrien Baranes
3. Andrew Barto
4. Yoshua Bengio
5. Xi Chen
6. Geoffrey E. Hinton
7. Richard S. Sutton
8. Irina Higgins
9. Pierre-Yves Oudeyer
10. Diederik P. Kingma

Who trusts Adrien Laversanne-Finot overall

1. Francesco Locatello
2. Thomas Kipf
3. Stefan Bauer
4. Elise van der Pol
5. Cédric Colas
6. Bernhard Schölkopf
7. Gabriele Abbati
8. Nicholas Watters

Papers from Adrien Laversanne-Finot's perspective

Ordered by how strongly the researchers Adrien Laversanne-Finot 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Curiosity Driven Exploration of Learned Disentangled Goal Spaces (2018) — 90 citations