Angelika Kimmig

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 13 papers; trusts 52 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Angelika Kimmig trusts overall

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

  1. Luc De Raedt
  2. Avi Pfeffer
  3. Jason Eisner
  4. Taisuke Sato
  5. David Poole
  6. Bernd Gutmann
  7. Vikash K. Mansinghka
  8. Stephen H. Muggleton
  9. Yoshitaka Kameya
  10. Diederik P. Kingma

Who trusts Angelika Kimmig overall

  1. Luc De Raedt
  2. Robin Manhaeve
  3. Sebastijan Dumancic
  4. Francesco Giannini
  5. Vaishak Belle
  6. A.S. d'Avila Garcez
  7. Seyed Mehran Kazemi
  8. Theodoros Rekatsinas
  9. Jingyi Xu
  10. Marco Gori

Papers from Angelika Kimmig's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers