Naoki Kanazawa

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naoki Kanazawa trusts overall

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

  1. Herbert Jaeger
  2. Mantas Lukosevicius
  3. Wolfgang Maass

Papers from Naoki Kanazawa's perspective

Ordered by how strongly the researchers Naoki Kanazawa 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. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
  4. Neural networks and physical systems with emergent collective computational abilities.
  5. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
  6. The''echo state''approach to analysing and training recurrent neural networks
  7. Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks (Neural Computation)
  8. State-dependent computations: spatiotemporal processing in cortical networks
  9. Adaptive Nonlinear System Identification with Echo State Networks (Neural Information Processing Systems)
  10. Reservoir computing approaches to recurrent neural network training

Their papers