Gabriel Barth-Maron

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 12 papers; trusts 89 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel Barth-Maron trusts overall

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

  1. Richard S. Sutton
  2. Diederik P. Kingma
  3. Ronald J. Williams
  4. David Silver
  5. Geoffrey E. Hinton
  6. Volodymyr Mnih
  7. E. Todorov
  8. Marc G. Bellemare
  9. Alex Krizhevsky
  10. Martin A. Riedmiller

Who trusts Gabriel Barth-Maron overall

  1. T. Paine
  2. Danijar Hafner
  3. Shansi Zhang
  4. Yuxi Li
  5. Caglar Gulcehre
  6. Cosmin Paduraru
  7. Sergio Gomez Colmenarejo
  8. Ofir Nachum
  9. Ziyun Wang
  10. Serkan Cabi

Papers from Gabriel Barth-Maron's perspective

Ordered by how strongly the researchers Gabriel Barth-Maron trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers