Christoph Rösmann

German Conference on Robotics · 2012–2017

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

Whom Christoph Rösmann trusts overall

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

  1. Jorge Nocedal
  2. Nathan D. Ratliff
  3. Mrinal Kalakrishnan
  4. Stephen J. Wright
  5. Matthew Zucker
  6. Sachin Chitta

Papers from Christoph Rösmann's perspective

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

  1. STOMP: Stochastic trajectory optimization for motion planning (IEEE International Conference on Robotics and Automation)
  2. CHOMP: Gradient optimization techniques for efficient motion planning
  3. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
  4. Numerical optimization
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers