Michael Ulbrich

Optimization & Training · 2008–2018

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Ulbrich trusts overall

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

  1. Richard H. Byrd
  2. Jorge Nocedal
  3. William W. Hager
  4. Stefan Scholtes
  5. Herbert Amann
  6. Shai Shalev-Shwartz
  7. Tong Zhang
  8. Zeyuan Allen-Zhu
  9. Yurii E. Nesterov

Who trusts Michael Ulbrich overall

  1. Christian Clason
  2. Karl Kunisch
  3. Eduardo Casas
  4. Konstantin Pieper
  5. Samuel Amstutz
  6. Martin Gubisch

Papers from Michael Ulbrich's perspective

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

  1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. A Stochastic Approximation Method
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers