Nikola B. Kovachki

Statistical and Nonlinear Physics · 2020–2023

A researcher in the Science corpus: 10 papers; trusts 67 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Nikola B. Kovachki trusts overall

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

  1. Zong-Yi Li
  2. Andrew M. Stuart
  3. Kaiming He
  4. Maizar Raissi
  5. Geoffrey E. Hinton
  6. Kurt Hornik
  7. Yann LeCun
  8. Yoshua Bengio
  9. Tianping Chen
  10. Samuel Lanthaler

Who trusts Nikola B. Kovachki overall

  1. Zong-Yi Li
  2. Shuhao Cao
  3. Lu Lu
  4. Alasdair Tran
  5. Zijie Li
  6. Johannes Brandstetter
  7. Haixu Wu
  8. Gaurav Gupta
  9. Burigede Liu
  10. Anima Anandkumar

Papers from Nikola B. Kovachki's perspective

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

Their papers