Andrew F. Zahrt

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

Whom Andrew F. Zahrt trusts overall

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

  1. John B. O. Mitchell
  2. Connor W. Coley
  3. Hongming Chen

Who trusts Andrew F. Zahrt overall

  1. Kexin Huang

Papers from Andrew F. Zahrt's perspective

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

  1. Prediction of Organic Reaction Outcomes Using Machine Learning
  2. Machine-learning-assisted materials discovery using failed experiments
  3. Predicting reaction performance in C–N cross-coupling using machine learning (Science)
  4. Machine learning methods in chemoinformatics
  5. The rise of deep learning in drug discovery. (Drug Discovery Today)
  6. Machine Learning With Python
  7. NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
  8. Improving neural networks by preventing co-adaptation of feature detectors
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers