Juraj Kabzan

Control and Systems Engineering · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Juraj Kabzan trusts overall

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

  1. Alexander Liniger
  2. Joel A. E. Andersson
  3. Joaquin Quiñonero Candela
  4. Lukas Hewing
  5. Edward Snelson
  6. Carl E. Rasmussen
  7. Alexander Domahidi
  8. Marc Peter Deisenroth
  9. Olivier Sigaud
  10. C. Ostafew

Who trusts Juraj Kabzan overall

  1. Guillem Torrente
  2. Elia Kaufmann
  3. Lukas Hewing
  4. Shangding Gu
  5. Philip Föhn
  6. Lukas Brunke

Papers from Juraj Kabzan's perspective

Ordered by how strongly the researchers Juraj Kabzan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers