Konrad Rawlik

Molecular Biology · 2010–2021

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Konrad Rawlik trusts overall

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

  1. E. Todorov
  2. Hilbert J. Kappen
  3. Jan Peters
  4. Marc Toussaint
  5. Andrew Barto
  6. Stefan Schaal
  7. Justin A. Boyan
  8. Radford M. Neal
  9. Alex Smola
  10. Geoffrey E. Hinton

Who trusts Konrad Rawlik overall

  1. Sergey Levine
  2. Tuomas Haarnoja
  3. Pieter Abbeel
  4. Roy Fox
  5. Natasha Jaques
  6. Aurick Zhou
  7. Herke Van Hoof
  8. Matthew R. Fellows
  9. Shixiang Shane Gu
  10. Brendan O'Donoghue

Papers from Konrad Rawlik's perspective

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

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

Their papers