Alain Oliviero Durmus

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 8 papers; trusts 65 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Alain Oliviero Durmus trusts overall

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

  1. Gareth O. Roberts
  2. Radford M. Neal
  3. Richard L. Tweedie
  4. Gábor Lugosi
  5. Jim Albert
  6. Christopher C. Holmes
  7. Arnak S. Dalalyan
  8. Cédric Villani
  9. D. Bakry
  10. Elad Hazan

Who trusts Alain Oliviero Durmus overall

  1. Andreas Eberle
  2. Aymeric Dieuleveut
  3. Arnak S. Dalalyan
  4. Xiang Cheng
  5. Arnaud Guillin
  6. Xiao Fang
  7. Avetik G. Karagulyan
  8. Jeffrey Negrea
  9. Kumar Kshitij Patel
  10. Daniel J. Bernstein

Papers from Alain Oliviero Durmus's perspective

Ordered by how strongly the researchers Alain Oliviero Durmus 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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