R. K. Ambasta

Computational Theory and Mathematics · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. K. Ambasta trusts overall

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

  1. Antonio Lavecchia

Papers from R. K. Ambasta's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Backpropagation Applied to Handwritten Zip Code Recognition
  5. Learning representations by back-propagating errors
  6. Generative Adversarial Networks
  7. Support-Vector Networks
  8. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  9. Molecular de-novo design through deep reinforcement learning
  10. Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules

Their papers