K. Latuszy'nski

Statistics and Probability · 2011–2015

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom K. Latuszy'nski trusts overall

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

  1. Gareth O. Roberts
  2. Jeffrey S. Rosenthal
  3. Christophe Andrieu
  4. Radford M. Neal
  5. Patrick L. Combettes
  6. Richard L. Tweedie
  7. MARK A. Beaumont
  8. Michael I. Jordan
  9. David John Cameron MacKay
  10. Mylene B'edard

Who trusts K. Latuszy'nski overall

  1. Peter J. Green
  2. Marcelo Pereyra
  3. Christian P. Robert
  4. Pierre Alquier
  5. Jan-Willem van de Meent

Papers from K. Latuszy'nski's perspective

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

Their papers