Alexander Liniger

Automotive Engineering · 2015–2022

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Liniger trusts overall

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

  1. Steven M. LaValle
  2. Francesco Borrelli
  3. D. Ferguson
  4. Alexander Domahidi
  5. Paolo Falcone
  6. Moritz Diehl
  7. Martin Buehler
  8. Maxim Likhachev
  9. Rajesh Rajamani
  10. Pieter Abbeel

Who trusts Alexander Liniger overall

  1. Lukas Hewing
  2. Juraj Kabzan
  3. Xiaojing Zhang
  4. Laurent Lessard
  5. Brandon Amos
  6. Zhijun Li
  7. Hao Shao
  8. Siyu Teng
  9. Melanie Nicole Zeilinger
  10. Edouard Leurent

Papers from Alexander Liniger's perspective

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

Their papers