Kei Terayama

Artificial Intelligence · 2017

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

• Artificial Intelligence — 6 citations into it
• Computational Chemistry & Drug Discovery — 5 citations into it

Whom Kei Terayama trusts overall

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

1. David Weininger

Papers from Kei Terayama's perspective

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

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

Their papers

• ChemTS: an efficient python library for de novo molecular generation (2017) — 257 citations