Michela Paganini

Nuclear and High Energy Physics · 2017–2022

A researcher in the Science corpus: 15 papers; trusts 146 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Michela Paganini trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Matteo Cacciari
  6. Kaiming He
  7. Cms Collaboration
  8. Alec Radford
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Michela Paganini overall

  1. Yongjun Hong
  2. Konstantin Shmelkov
  3. Anders Andreassen
  4. Uiwon Hwang
  5. Patrick T. Komiske
  6. Cordelia Schmid
  7. Benjamin Nachman
  8. Jaeyoon Yoo
  9. Anton Osokin
  10. A. Larkoski

Papers from Michela Paganini's perspective

Ordered by how strongly the researchers Michela Paganini 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. 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. 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