Alexander Gruenstein

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Gruenstein trusts overall

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

  1. Mark John Francis Gales
  2. Daniel Povey
  3. Hynek Hermansky
  4. Andreas Stolcke
  5. Philip C. Woodland
  6. Vincent Vanhoucke
  7. Andrew W. Senior
  8. Brian Kingsbury

Who trusts Alexander Gruenstein overall

  1. Rohit Prabhavalkar

Papers from Alexander Gruenstein's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Layer Normalization
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
  7. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  8. ImageNet classification with deep convolutional neural networks
  9. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
  10. Towards End-To-End Speech Recognition with Recurrent Neural Networks

Their papers