Alexander Herzog

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Herzog trusts overall

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

  1. Jan Peters
  2. Sergey Levine
  3. Chelsea Finn
  4. Richard S. Sutton
  5. Geoffrey E. Hinton
  6. Radu Bogdan Rusu
  7. Luis Montesano
  8. Olivier Sigaud
  9. Andrew Y. Ng
  10. Pieter Abbeel

Who trusts Alexander Herzog overall

  1. Sergey Levine
  2. Daniel Kappler
  3. Deirdre Quillen
  4. Andreas ten Pas
  5. Jeffrey Mahler
  6. Peter Pastor
  7. Eric Jang
  8. Chelsea Finn
  9. Oliver Kroemer
  10. Jeannette Bohg

Papers from Alexander Herzog's perspective

Ordered by how strongly the researchers Alexander Herzog 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Reinforcement Learning: An Introduction
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers