Felix Duvallet

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Felix Duvallet trusts overall

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

  1. Nathan D. Ratliff
  2. Stéphane Ross
  3. Thomas Kollar
  4. Adam Vogel
  5. Stefanie Tellex
  6. M. MacMahon
  7. Cyrill Stachniss
  8. Brenna D. Argall
  9. Ashesh Jain
  10. Geoffrey J. Gordon

Who trusts Felix Duvallet overall

  1. Valts Blukis
  2. James MacGlashan
  3. Ross A. Knepper
  4. Yoav Artzi
  5. Nataly Brukhim
  6. Michael Laskey
  7. Sachithra Hemachandra
  8. Stéphane Ross

Papers from Felix Duvallet's perspective

Ordered by how strongly the researchers Felix Duvallet 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers