Philipp Metzner

Multiscale Modeling & simulation · 2009

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Philipp Metzner trusts overall

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

  1. Jianbo Shi
  2. Stéphane Lafon
  3. Sam T. Roweis
  4. Mikhail Belkin
  5. David L. Donoho
  6. Ronald R. Coifman
  7. Marina Meila
  8. Mogens Bladt
  9. Jitendra Malik
  10. Lawrence K. Saul

Papers from Philipp Metzner's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Normalized cuts and image segmentation
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers