Rajeev Gangula

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rajeev Gangula trusts overall

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

  1. Yong Zeng
  2. Longxin Lin
  3. Rui Zhang
  4. Vinod Nair
  5. Tim O'Shea
  6. Qingqing Wu
  7. Kurt Hornik
  8. Geoffrey E. Hinton
  9. Paul de Kerret
  10. Volodymyr Mnih

Papers from Rajeev Gangula's perspective

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

  1. Rectified Linear Units Improve Restricted Boltzmann Machines
  2. Human-level control through deep reinforcement learning
  3. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  4. ImageNet classification with deep convolutional neural networks
  5. Multilayer feedforward networks are universal approximators
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel
  10. Dynamic Spectrum Management: Complexity and Duality (IEEE Journal on Selected Topics in Signal Processing)

Their papers