Giambattista Parascandolo

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 11 papers; trusts 121 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Giambattista Parascandolo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Bernhard Schölkopf
  8. J. Urgen Schmidhuber
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Giambattista Parascandolo overall

  1. Bernhard Schölkopf
  2. Justin Salamon
  3. Francesco Locatello
  4. Annamaria Mesaros
  5. Anirudh Goyal
  6. Yoshua Bengio
  7. Dan Stowell
  8. Hendrik Purwins
  9. Tuomas Virtanen
  10. Toni Heittola

Papers from Giambattista Parascandolo's perspective

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

Their papers