Thomas G. van den Berg

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas G. van den Berg trusts overall

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

  1. Kenneth O. Stanley
  2. Risto Miikkulainen
  3. Jeff Clune
  4. Brian G. Woolley
  5. Joel Lehman
  6. David B. D'Ambrosio
  7. Jason Gauci

Papers from Thomas G. van den Berg's perspective

Ordered by how strongly the researchers Thomas G. van den Berg trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Evolving Neural Networks through Augmenting Topologies
  2. Gradient-based learning applied to document recognition
  3. Exploiting Open-Endedness to Solve Problems Through the Search for Novelty
  4. Reinforcement Learning: An Introduction
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. ImageNet: A large-scale hierarchical image database
  7. A Taxonomy for Artificial Embryogeny
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. GENERATIVE ADVERSARIAL NETS
  10. On the deleterious effects of a priori objectives on evolution and representation

Their papers