Toshiyuki Yamane

Artificial Intelligence · 2018

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

• Artificial Intelligence — 39 citations into it
• Electrical and Electronic Engineering — 38 citations into it
• Cognitive Neuroscience — 25 citations into it

Whom Toshiyuki Yamane trusts overall

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

1. Herbert Jaeger
2. Mantas Lukosevicius
3. Wolfgang Maass
4. Wulfram Gerstner
5. J. Urgen Schmidhuber
6. Sepp Hochreiter
7. David E. Rumelhart
8. Geoffrey E. Hinton
9. Jennifer Olson Hasler
10. Janardan Misra

Papers from Toshiyuki Yamane's perspective

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

1. Long Short-Term Memory
2. Learning internal representations by error propagation
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
6. Neural networks and physical systems with emergent collective computational abilities.
7. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
8. The''echo state''approach to analysing and training recurrent neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Recent Advances in Physical Reservoir Computing: A Review (2018) — 1,892 citations