Marc A. Moesser

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marc A. Moesser trusts overall

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

  1. S. Parasuraman
  2. Zhihai Liu
  3. Thomas Kipf
  4. Ruth Huey
  5. Garrett M. Morris
  6. William L. Hamilton
  7. Arthur J. Olson
  8. Keyulu Xu
  9. J. Jiménez
  10. Max Welling

Papers from Marc A. Moesser's perspective

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

Their papers