Thomas Cederborg

Artificial Intelligence · 2010–2015

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Cederborg trusts overall

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

  1. Sylvain Calinon
  2. Dit-Yan Yeung
  3. Monica N. Nicolescu
  4. Arthur P. Dempster
  5. Aude Gemma Billard
  6. Krishna Kumar Narayanan
  7. Adrien Angeli
  8. Yu Zhang
  9. Maja J. Mataric
  10. Chih-Jen Lin

Who trusts Thomas Cederborg overall

  1. Pierre-Yves Oudeyer
  2. Todd Hester
  3. Alexander Rainer Tassilo Gepperth
  4. Oliver Kroemer
  5. Olivier Sigaud
  6. Luiza Mici
  7. Ruohan Zhang
  8. Adrien Baranes
  9. Sao Mai Nguyen
  10. Scott Niekum

Papers from Thomas Cederborg's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. LIBSVM: A library for support vector machines
  3. On Learning, Representing, and Generalizing a Task in a Humanoid Robot
  4. Robot Programming by Demonstration
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. ImageNet classification with deep convolutional neural networks
  8. Reinforcement Learning: An Introduction
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Robot Programming by Demonstration

Their papers