Marcel Keller

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 10 papers; trusts 132 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Marcel Keller trusts overall

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

  1. Ivan Bjerre Damgård
  2. Donald Beaver
  3. Craig Gentry
  4. Yehuda Lindell
  5. Octavian Catrina
  6. Nigel P. Smart
  7. Valerio Pastro
  8. Jesper Buus Nielsen
  9. Dan Bogdanov
  10. Ran Canetti

Who trusts Marcel Keller overall

  1. Yehuda Lindell
  2. Assi Barak
  3. Daniel E. Escudero
  4. Ivan Bjerre Damgård
  5. Adrià Gascón
  6. Ronald Cramer
  7. Arpita Patra
  8. Toshinori Araki
  9. David E. Evans
  10. Shreya Sharma

Papers from Marcel Keller's perspective

Ordered by how strongly the researchers Marcel Keller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Fairplay - Secure Two-Party Computation System
  4. Fair exchange with a semi-trusted third party (extended abstract)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Rethinking the Inception Architecture for Computer Vision

Their papers