Gianluigi Pillonetto

Statistical Learning Theory · 2010–2014

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Gianluigi Pillonetto trusts overall

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

  1. Grace Wahba
  2. Christopher K. I. Williams
  3. Steve Smale
  4. Manfred Opper
  5. Charles A. Micchelli
  6. Felipe Cucker
  7. Vladimir Naumovich Vapnik
  8. James O. Berger
  9. Hirotugu Akaike
  10. Theodoros Evgeniou

Who trusts Gianluigi Pillonetto overall

  1. Yu Zhang
  2. Qiang Yang
  3. Tianshi Chen
  4. Eurika Kaiser
  5. Lukas Hewing
  6. Henrik Ohlsson
  7. Lennart Ljung
  8. J. Nathan Kutz
  9. Carlo Ciliberto
  10. Juraj Kabzan

Papers from Gianluigi Pillonetto's perspective

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

Their papers