Marco Gaboardi

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 18 papers; trusts 104 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Gaboardi trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Adam D. Smith
  4. Raef Bassily
  5. Kobbi Nissim
  6. Gilles Barthe
  7. Mark Bun
  8. Ú. Erlingsson
  9. Moritz Hardt
  10. Kunal Talwar

Who trusts Marco Gaboardi overall

  1. Danfeng Zhang
  2. Jayadev Acharya
  3. Daniel Kifer
  4. Gilles Barthe
  5. Arjun Narayan
  6. Vishesh Karwa
  7. Clément Louis Canonne
  8. Ryan M. Rogers
  9. Thomas B. Berrett
  10. Ziteng Sun

Papers from Marco Gaboardi's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Differential Privacy

Their papers