Carl Poelking

2013–2017

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

Whom Carl Poelking trusts overall

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

1. Christopher K. I. Williams
2. Marco Cuturi
3. Martin Brinkmann

Papers from Carl Poelking's perspective

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

1. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
2. Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
3. Direct observation of an increase in buckled dimers on Si(001) at low temperature.
4. The Hungarian method for the assignment problem
5. On representing chemical environments
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Harmonic Analysis on Semigroups
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. The Elements of Statistical Learning
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Machine learning unifies the modeling of materials and molecules (2017) — 652 citations
• Supplementary Materials for Machine learning unifies the modeling of materials and molecules (2017)
• Effect of Polymorphism, Regioregularity and Paracrystallinity on Charge Transport in Poly(3-hexylthiophene) [P3HT] Nanofibers (2013) — 139 citations