Klaus Neymeyr

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Klaus Neymeyr trusts overall

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

  1. Beresford N. Parlett
  2. Gene H. Golub
  3. M. Maeder
  4. Hyunsoo Kim
  5. Haesun Park

Who trusts Klaus Neymeyr overall

  1. Thomas Mach
  2. Mathias Sawall
  3. S. I. Solov'ëv

Papers from Klaus Neymeyr's perspective

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

  1. Layer Normalization
  2. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
  3. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  4. Calculation of maximum and minimum band boundaries of feasible solutions for species profiles obtained by multivariate curve resolution
  5. Introductory Lectures on Convex Optimization - A Basic Course
  6. The Symmetric Eigenvalue Problem
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Convergence Analysis of Two-layer Neural Networks with ReLU Activation

Their papers