S. Niaki

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Niaki trusts overall

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

  1. William Stafford Noble
  2. Diederik P. Kingma
  3. Maizar Raissi
  4. Cosmin Anitescu
  5. Justin A. Sirignano
  6. Paris Perdikaris
  7. Navid Zobeiry
  8. G. Em Karniadakis
  9. P. Boisse
  10. Ameya Dilip Jagtap

Papers from S. Niaki's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Deep Learning
  9. Understanding the difficulty of training deep feedforward neural networks
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers