Lalit Maganti

Safety, Robustness & Interpretability · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Lalit Maganti trusts overall

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

  1. Xiaowei Huang
  2. Simon S. Haykin
  3. Vinod Nair
  4. Guy Katz
  5. Geoffrey E. Hinton
  6. Richard S. Sutton
  7. Osbert Bastani
  8. Andrew W. Moore

Who trusts Lalit Maganti overall

  1. J. Kolter
  2. Vincent Tjeng
  3. Rudy Bunel
  4. Hadi Salman
  5. Wenjie Ruan
  6. Kai Y. Xiao
  7. Matt Jordan
  8. Xiaowei Huang
  9. Huan Zhang
  10. Sungyoon Lee

Papers from Lalit Maganti's perspective

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

  1. Rectified Linear Units Improve Restricted Boltzmann Machines
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Safety Verification of Deep Neural Networks
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
  7. Efficient memory-based learning for robot control
  8. Safety Verification of Deep Neural Networks ∗
  9. Measuring Neural Net Robustness with Constraints
  10. Intriguing properties of neural networks

Their papers