Daniel Brunner

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Brunner trusts overall

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

  1. Lijuan Cao
  2. Herbert Jaeger
  3. Harald Haas
  4. François Duport
  5. Ali Rodan
  6. Joni Dambre

Who trusts Daniel Brunner overall

  1. Laurent Larger
  2. Jacob D. Biamonte
  3. Miguel C. Soriano

Papers from Daniel Brunner's perspective

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

  1. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
  2. Information processing using a single dynamical node as complex system (Nature Communications)
  3. Time Series Prediction: Forecasting the Future and Understanding the Past
  4. Minimum Complexity Echo State Network (IEEE Transactions on Neural Networks)
  5. Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing. (Optics Express)
  6. Ridge Regression: Applications to Nonorthogonal Problems
  7. Generative Adversarial Nets (Neural Information Processing Systems)
  8. Deep learning with coherent nanophotonic circuits (Nature Photonics)
  9. The dynamical complexity of optically injected semiconductor lasers
  10. Information Processing Capacity of Dynamical Systems (Scientific Reports)

Their papers