Vaneet Aggarwal

Computer Networks and Communications · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Vaneet Aggarwal trusts overall

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

  1. Angelia Nedić
  2. Stephen P. Boyd
  3. Wei Shi
  4. Alexander Olshevsky
  5. Amrit Singh Bedi
  6. David Kempe

Who trusts Vaneet Aggarwal overall

  1. Jihong Park
  2. Anis Elgabli

Papers from Vaneet Aggarwal's perspective

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

  1. Large Scale Distributed Deep Networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Randomized gossip algorithms
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
  10. Gossip Algorithms for Distributed Signal Processing

Their papers