Felix Naumann

Artificial Intelligence · The VLDB journal · 2000–2022

A researcher in the Science corpus: 9 papers; trusts 43 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Felix Naumann trusts overall

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

  1. Mikhail Bilenko
  2. Alon Y. Halevy
  3. Erhard Rahm
  4. Indrajit Bhattacharya
  5. Ahmed K. Elmagarmid
  6. Xin Luna Dong
  7. Rohan A. Baxter
  8. Raymond J. Mooney
  9. Amit P. Sheth
  10. Philip A. Bernstein

Who trusts Felix Naumann overall

  1. Tom Heath
  2. Ihab F. Ilyas
  3. Michael Färber
  4. Shirlee-ann Knight
  5. Christian Bizer
  6. Xu Chu
  7. Theodoros Rekatsinas
  8. Ziawasch Abedjan
  9. Frederic Bartscherer
  10. Janice M. Burn

Papers from Felix Naumann's perspective

Ordered by how strongly the researchers Felix Naumann 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adaptive duplicate detection using learnable string similarity measures
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Reference reconciliation in complex information spaces (ACM SIGMOD Conference)
  10. ImageNet: A large-scale hierarchical image database

Their papers