Florent Cousseau

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Florent Cousseau trusts overall

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

  1. Shun-ichi Amari
  2. Kenji Fukumizu

Papers from Florent Cousseau's perspective

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

  1. Adaptive natural gradient learning algorithms for various stochastic models
  2. Methods of information geometry
  3. Natural Gradient Works Efficiently in Learning
  4. Original Contribution: Uniqueness of the weights for minimal feedforward nets with a given input-output map
  5. An Introduction to Probability Theory and Its Applications
  6. A Theory of Adaptive Pattern Classifiers
  7. Local minima and plateaus in hierarchical structures of multilayer perceptrons
  8. Neural Networks for Pattern Recognition
  9. The Geometry of Algorithms with Orthogonality Constraints
  10. GENERATIVE ADVERSARIAL NETS

Their papers