Philip Becker-Ehmck

Artificial Intelligence · 2017

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

Subfields

Whom Philip Becker-Ehmck trusts overall

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

  1. Danilo Jimenez Rezende

Papers from Philip Becker-Ehmck's perspective

Ordered by how strongly the researchers Philip Becker-Ehmck trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Variational Inference with Normalizing Flows
  2. VIME: Variational Information Maximizing Exploration
  3. OpenAI Gym
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers