Ulrich Schwesinger

Control and Systems Engineering · 2013–2016

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

Subfields

Whom Ulrich Schwesinger trusts overall

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

  1. Pieter Abbeel
  2. Taras I. Lakoba
  3. Andrew Y. Ng
  4. Brian D. Ziebart

Who trusts Ulrich Schwesinger overall

  1. Lei Tai
  2. Mark Pfeiffer
  3. Anirudh Vemula
  4. Changan Chen

Papers from Ulrich Schwesinger's perspective

Ordered by how strongly the researchers Ulrich Schwesinger 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. Gradient-based learning applied to document recognition
  4. Apprenticeship learning via inverse reinforcement learning
  5. Maximum Entropy Inverse Reinforcement Learning
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers