Edwin J. Kreuzer

Artificial Intelligence · 2017

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

Subfields

Whom Edwin J. Kreuzer trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Edwin J. Kreuzer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Asynchronous Methods for Deep Reinforcement Learning
  5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. On the importance of initialization and momentum in deep learning
  8. End-to-End Training of Deep Visuomotor Policies
  9. End to End Learning for Self-Driving Cars
  10. Stochastic Gradient Descent Tricks

Their papers