Philippe Wenk

Statistics and Probability · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe Wenk trusts overall

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

  1. Radford M. Neal
  2. Ben Calderhead
  3. Benn Macdonald
  4. Kaare Brandt Petersen
  5. Niklas Pfister
  6. Ann C. Babtie
  7. Mark A. Girolami
  8. Geoffrey E. Hinton
  9. Bjørn Eraker
  10. Yacine Aït-Sahalia

Who trusts Philippe Wenk overall

  1. Jan Peters
  2. Stefan Bauer
  3. Niklas Pfister

Papers from Philippe Wenk's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Pattern Recognition and Machine Learning
  9. Training Products of Experts by Minimizing Contrastive Divergence
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers