Bartolomeo Stellato

Computational Theory and Mathematics · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Bartolomeo Stellato trusts overall

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

  1. Yoshua Bengio
  2. Steven Diamond
  3. Philippe Huber
  4. Stephen P. Boyd
  5. Johan Löfberg
  6. Peter Filzmoser
  7. Yann LeCun
  8. Jorge Nocedal
  9. Corinna Cortes
  10. Irving John Good

Who trusts Bartolomeo Stellato overall

  1. Brendan O'Donoghue
  2. Gianluca Frison
  3. Valentina Zantedeschi
  4. Samuel Pfrommer
  5. Zhepei Wang
  6. Akshay Agrawal
  7. Moritz Diehl
  8. Matt J. Kusner
  9. Mathew Halm

Papers from Bartolomeo Stellato's perspective

Ordered by how strongly the researchers Bartolomeo Stellato 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. Attention is All you Need (Neural Information Processing Systems)
  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