Yura Malitsky

Computational Theory and Mathematics · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Yura Malitsky trusts overall

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

  1. Jong-Shi Pang
  2. Paul Tseng
  3. Igor V. Konnov
  4. Francisco Facchinei
  5. Alfredo Noel Iusem
  6. Yair Censor
  7. Anatoli B. Juditsky
  8. Weijie Su
  9. Heinz H. Bauschke
  10. Yurii E. Nesterov

Who trusts Yura Malitsky overall

  1. Yekini Shehu
  2. Duong Viet Thong
  3. Yu-Guan Hsieh
  4. Christian Kanzow
  5. Jelena Diakonikolas
  6. Lateef Olakunle Jolaoso
  7. Chaobing Song
  8. Dang Van Hieu
  9. Franck Iutzeler
  10. Olaniyi Samuel Iyiola

Papers from Yura Malitsky's perspective

Ordered by how strongly the researchers Yura Malitsky 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. Learning Multiple Layers of Features from Tiny Images
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Regression Shrinkage and Selection via the Lasso
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers