David M. Wilkins

Materials Chemistry · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David M. Wilkins trusts overall

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

  1. A. P. Bart'ok

Who trusts David M. Wilkins overall

  1. Ivan S. Novikov

Papers from David M. Wilkins's perspective

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

  1. The Elements of Statistical Learning
  2. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
  5. Fast and accurate modeling of molecular atomization energies with machine learning.
  6. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  7. Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  8. Comparing molecules and solids across structural and alchemical space.
  9. Deep Learning
  10. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol

Their papers