Theodor Misiakiewicz

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Theodor Misiakiewicz trusts overall

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

  1. Francis R. Bach
  2. Lénaïc Chizat
  3. Peter L. Bartlett
  4. Yann LeCun
  5. Simon Shaolei Du
  6. Song Mei
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Alexandre B. Tsybakov
  10. Alex Krizhevsky

Who trusts Theodor Misiakiewicz overall

  1. Alberto Bietti
  2. Lénaïc Chizat
  3. Behrooz Ghorbani
  4. Julien Mairal
  5. Jiaoyang Huang
  6. Francis R. Bach
  7. Song Mei
  8. Greg Yang
  9. Mario Geiger
  10. Mao Ye

Papers from Theodor Misiakiewicz's perspective

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

Their papers