Norman Sieroka

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 Norman Sieroka trusts overall

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

  1. Gisbert Schneider

Papers from Norman Sieroka's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Prototypical Networks for Few-shot Learning
  3. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  4. On Calibration of Modern Neural Networks
  5. Learning how to learn
  6. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
  7. Deep Learning
  8. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
  9. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
  10. Automating drug discovery (Nature reviews. Drug discovery)

Their papers