Alexander Shmakov

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 5 citations into it

Whom Alexander Shmakov trusts overall

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

1. Dimitri P. Bertsekas
2. Kaiming He
3. Xavier Glorot

Papers from Alexander Shmakov's perspective

Ordered by how strongly the researchers Alexander Shmakov trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Deep Sparse Rectifier Neural Networks
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Neuro-Dynamic Programming
10. ImageNet: A large-scale hierarchical image database

Their papers

• Solving the Rubik’s cube with deep reinforcement learning and search (2019) — 210 citations