D. Weix

Accounts of Chemical Research · 2015

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from D. Weix's perspective

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

  1. Privileged Scaffolds for Library Design and Drug Discovery (Current Opinion in Chemical Biology)
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Analysis of a Random Forests Model
  4. Practical Bayesian Optimization of Machine Learning Algorithms
  5. Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
  6. GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
  7. Parallelised Bayesian Optimisation via Thompson Sampling
  8. Scikit-learn: Machine Learning in Python
  9. Asymmetric enamine catalysis. (Chemical Reviews)
  10. Small-molecule H-bond donors in asymmetric catalysis. (Chemical Reviews)

Their papers