F. Neumann

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom F. Neumann trusts overall

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

  1. Frank Hutter
  2. Holger H. Hoos
  3. Kevin Leyton-Brown
  4. Radford M. Neal
  5. Lars Kotthoff
  6. Jerome H. Friedman
  7. Vladimir Naumovich Vapni
  8. Thomas G. Dietterich
  9. David Ruppert
  10. Malte Helmert

Papers from F. Neumann's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Pattern Recognition and Machine Learning
  3. Gradient-based learning applied to document recognition
  4. The Nature of Statistical Learning Theory
  5. Learning Multiple Layers of Features from Tiny Images
  6. An Effective Heuristic Algorithm for the Traveling-Salesman Problem
  7. Sequential Model-Based Optimization for General Algorithm Configuration
  8. Classification and regression trees
  9. ParamILS: An Automatic Algorithm Configuration Framework
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers