Mark Russinovich

Artificial Intelligence · 2015–2024

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Russinovich trusts overall

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

  1. Craig Gentry
  2. Muthu Dayalan

Who trusts Mark Russinovich overall

  1. Yuanshun Yao
  2. Ruiqi Zhang
  3. Pratyush Maini
  4. Weijia Shi

Papers from Mark Russinovich's perspective

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

  1. Caffe: Convolutional Architecture for Fast Feature Embedding
  2. TensorFlow: A system for large-scale machine learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. MapReduce: simplified data processing on large clusters
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers