Timo Bram

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #30,507 of 35,345 by trust here, #34,213 by citations

Whom Timo Bram trusts overall

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

1. Diederik P. Kingma
2. Volodymyr Mnih
3. Andrei A. Rusu
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Romain Laroche
7. Richard S. Sutton
8. Yoshua Bengio
9. Yee Whye Teh
10. Alex Krizhevsky

Who trusts Timo Bram overall

1. Yu Zhang
2. Qiang Yang

Papers from Timo Bram's perspective

Ordered by how strongly the researchers Timo Bram 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Attentive Multi-Task Deep Reinforcement Learning (2019) — 19 citations