Christian Westermann

2019

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

Whom Christian Westermann trusts

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

  1. Wolfgang Banzhaf (in Evolutionary Computation)

Papers from Christian Westermann's perspective

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

  1. Long Short-Term Memory
  2. Neural Architecture Search with Reinforcement Learning
  3. Support-Vector Networks
  4. Learning to learn by gradient descent by gradient descent
  5. Sequential Model-Based Optimization for General Algorithm Configuration
  6. ImageNet classification with deep convolutional neural networks
  7. Efficient and Robust Automated Machine Learning
  8. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
  9. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
  10. Gradient-based Hyperparameter Optimization through Reversible Learning

Their papers