Jean Benoit Héroux

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

Whom Jean Benoit Héroux trusts overall

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

  1. Herbert Jaeger
  2. Mantas Lukosevicius
  3. Wolfgang Maass
  4. Wulfram Gerstner

Papers from Jean Benoit Héroux's perspective

Ordered by how strongly the researchers Jean Benoit Héroux 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. Gradient-based learning applied to document recognition
  9. State-dependent computations: spatiotemporal processing in cortical networks
  10. ImageNet classification with deep convolutional neural networks

Their papers