Francesco Dinuzzo

Statistical Learning Theory · 2010–2014

A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Dinuzzo trusts overall

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

  1. Christopher K. I. Williams
  2. Grace Wahba
  3. Yuhai Wu
  4. Bernhard Schölkopf
  5. John Shawe-Taylor
  6. Charles A. Micchelli
  7. Alex Smola
  8. Vladimir Naumovich Vapnik
  9. Manfred Opper
  10. Li Fei-Fei

Who trusts Francesco Dinuzzo overall

  1. Yu Zhang
  2. Carlo Ciliberto
  3. Krikamol Muandet
  4. Zhenyu Guo
  5. Hamed Karimi
  6. Qiang Yang
  7. Pratik Jawanpuria
  8. Yaoliang Yu
  9. Lorenzo Rosasco
  10. Dit-Yan Yeung

Papers from Francesco Dinuzzo's perspective

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

Their papers