Koji Tsuda

Artificial Intelligence · with Hou · 2016–2018

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

Subfields

Whom Koji Tsuda trusts

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

  1. David Weininger (in Computational Chemistry & Drug Discovery)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Koji Tsuda's perspective

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

  1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  2. Mastering the game of Go with deep neural networks and tree search
  3. Generating Sentences from a Continuous Space
  4. Pixel Recurrent Neural Networks
  5. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
  6. Grammar Variational Autoencoder
  7. Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions
  8. A Survey of Monte Carlo Tree Search Methods
  9. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
  10. Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks

Their papers