Takahiro Miki

Biomedical Engineering · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Control and Systems Engineering — 11 citations into it

Whom Takahiro Miki trusts overall

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

1. Jemin Hwangbo
2. Sepp Hochreiter
3. Marco Hutter
4. J. Urgen Schmidhuber
5. Geoffrey E. Hinton
6. Stéphane Ross
7. Xue Bin Peng
8. Yoshua Bengio
9. Volodymyr Mnih
10. Diederik P. Kingma

Who trusts Takahiro Miki overall

1. Ananye Agarwal
2. Zipeng Fu
3. David Hoeller
4. Chen Tang
5. Jiaming Ji
6. N. Rudin
7. Ashish Kumar

Papers from Takahiro Miki's perspective

Ordered by how strongly the researchers Takahiro Miki 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learning robust perceptive locomotion for quadrupedal robots in the wild (2022) — 1,117 citations