A. Plowright
Computational Theory and Mathematics · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 35 citations into it
Whom A. Plowright trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from A. Plowright's perspective
Ordered by how strongly the researchers A. Plowright trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Prototypical Networks for Few-shot Learning
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- On Calibration of Modern Neural Networks
- Learning how to learn
- Deep Learning
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
- Automating drug discovery (Nature reviews. Drug discovery)
Their papers
- Rethinking drug design in the artificial intelligence era (2019) — 681 citations