Igor Poltavsky

Materials Chemistry · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Igor Poltavsky trusts overall

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

  1. Kieron Burke
  2. Alexandre Tkatchenko
  3. J. Behler

Who trusts Igor Poltavsky overall

  1. Stefan Chmiela
  2. Kristof T. Schütt
  3. Alexandre Tkatchenko
  4. Oliver T. Unke
  5. Huziel E. Sauceda
  6. Risi Kondor
  7. Johannes Klicpera

Papers from Igor Poltavsky's perspective

Ordered by how strongly the researchers Igor Poltavsky 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. Numerical Recipes 3rd Edition: The Art of Scientific Computing
  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. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers