Károly Héberger

Analytical Chemistry · 2002–2019

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Károly Héberger trusts overall

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

  1. Prasenjit Chatterjee
  2. K. Kollár‐Hunek
  3. V. Athawale
  4. John D. Holliday
  5. Yann LeCun
  6. Shankar Chakraborty
  7. Santiago Carbó

Who trusts Károly Héberger overall

  1. Dávid Bajusz
  2. Anita Rácz
  3. Aoife A. Gowen
  4. K. Kollár‐Hunek
  5. G. Downey
  6. Shitong Luo
  7. Carlos Esquerre
  8. Chengxi Zang
  9. Petr Skoda
  10. Colm O'Donnell

Papers from Károly Héberger's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Pattern Recognition and Neural Networks
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Extended-Connectivity Fingerprints

Their papers