Marco Fraccaro

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 285 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Fraccaro trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Danilo Jimenez Rezende
  5. Ruslan Salakhutdinov
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Sepp Hochreiter
  9. Alex Graves
  10. Max Welling

Who trusts Marco Fraccaro overall

  1. Yingzhen Li
  2. Francesco Locatello
  3. Florian Schmidt
  4. Daniel Hsu
  5. Karol Gregor
  6. Arash Vahdat
  7. Laurent Girin
  8. Dieterich Lawson
  9. Bryan Lim
  10. Stephan Mandt

Papers from Marco Fraccaro's perspective

Ordered by how strongly the researchers Marco Fraccaro 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers