Malte Kuss

Artificial Intelligence · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Malte Kuss trusts overall

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

  1. Bernhard Schölkopf
  2. Matthias W. Seeger
  3. Radford M. Neal
  4. Francis R. Bach
  5. Christopher K. I. Williams
  6. Alex Smola
  7. Michael V. Boland
  8. Roman Rosipal
  9. Manfred Opper
  10. Michael I. Jordan

Who trusts Malte Kuss overall

  1. James Hensman
  2. Mohammad Emtiyaz Khan
  3. Marc Peter Deisenroth
  4. Carl E. Rasmussen
  5. Iain Murray
  6. Lior Wolf
  7. Neil D. Lawrence
  8. Hannes Nickisch
  9. Simon Kornblith
  10. Sergey Levine

Papers from Malte Kuss's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers