Freek Stulp

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 10 papers; trusts 53 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Freek Stulp trusts overall

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

  1. Jan Peters
  2. Stefan Schaal
  3. Ronald J. Williams
  4. Auke Jan Ijspeert
  5. Evangelos A. Theodorou
  6. Nikolaus Hansen
  7. Jun Nakanishi
  8. Richard S. Sutton
  9. Jonas Buchli
  10. E. Todorov

Who trusts Freek Stulp overall

  1. Sergey Levine
  2. Thomas Lampe
  3. Bruno Castro da Silva
  4. Yevgen Chebotar
  5. Chelsea Finn
  6. J. Krichmar
  7. Olivier Sigaud
  8. Marc Peter Deisenroth
  9. Mrinal Kalakrishnan
  10. George Dimitri Konidaris

Papers from Freek Stulp's perspective

Ordered by how strongly the researchers Freek Stulp 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. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  4. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. GENERATIVE ADVERSARIAL NETS

Their papers