Tobias Johannink

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 20 citations into it
• Control and Systems Engineering — 13 citations into it

Whom Tobias Johannink trusts overall

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

1. Sergey Levine
2. Jan Peters
3. E. Todorov
4. Pieter Abbeel
5. Marc Peter Deisenroth
6. Richard S. Sutton
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Shixiang Shane Gu
10. Diederik P. Kingma

Who trusts Tobias Johannink overall

1. Charles B. Schaff
2. Jeffrey O. Zhang
3. Yuchen Wu
4. Andy Zeng
5. Matthew R. Walter

Papers from Tobias Johannink's perspective

Ordered by how strongly the researchers Tobias Johannink 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Residual Reinforcement Learning for Robot Control (2018) — 624 citations