Kai J. Kohlhoff

Molecular Biology · 2013–2016

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

Subfields

Whom Kai J. Kohlhoff trusts overall

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

  1. Muthu Dayalan
  2. Ajay N. Jain
  3. Gregory R. Bowman
  4. Michele Parrinello
  5. Michael R. Shirts
  6. A. W. Sousa da Silva
  7. Vijay S. Pande
  8. Brian K. Shoichet
  9. Mikhail A. Lomize
  10. Junmei Wang

Papers from Kai J. Kohlhoff's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. End-to-End Training of Deep Visuomotor Policies
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. MapReduce: simplified data processing on large clusters
  5. Anton, a special-purpose machine for molecular dynamics simulation
  6. Development and testing of a general amber force field
  7. OPM: Orientations of Proteins in Membranes database
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ACPYPE - AnteChamber PYthon Parser interfacE (BMC Research Notes)
  10. The Columbia grasp database

Their papers