K. Bauer

Nuclear and High Energy Physics · with Wang · 2016–2020

A researcher in the Science corpus: 11 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom K. Bauer trusts overall

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

  1. Jesse Thaler
  2. Diederik P. Kingma
  3. A. Larkoski
  4. K. Tilburg
  5. Jasper Snoek
  6. Jimmy Ba

Who trusts K. Bauer overall

  1. Patrick T. Komiske
  2. E. Metodiev
  3. Gilles Louppe

Papers from K. Bauer's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Scikit-learn: Machine Learning in Python
  6. Gradient-based learning applied to document recognition
  7. I and J
  8. Practical Bayesian Optimization of Machine Learning Algorithms
  9. Learning Multiple Layers of Features from Tiny Images
  10. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains

Their papers