Paolo Traverso

Artificial Intelligence · 1999–2016

A researcher in the Science corpus: 11 papers; trusts 53 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Traverso trusts overall

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

  1. Jörg Hoffmann
  2. A. Cimatti
  3. Blai Bonet
  4. Hector Geffner
  5. Daniela Berardi
  6. Nils J. Nilsson
  7. Sheila A. McIlraith
  8. Marco Pistore
  9. Jan Mendling
  10. Martin L. Puterman

Who trusts Paolo Traverso overall

  1. Blai Bonet
  2. Biplav Srivastava
  3. Malik Ghallab
  4. Maria Fox
  5. Marco Pistore
  6. Hector Geffner
  7. Andreas Klaus Bauer
  8. Piergiorgio Bertoli
  9. Jana Koehler

Papers from Paolo Traverso's perspective

Ordered by how strongly the researchers Paolo Traverso 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. Reinforcement Learning: An Introduction
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  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