Tino Franz

Statistical and Nonlinear Physics · 2014

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tino Franz trusts overall

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

  1. Sam T. Roweis
  2. Lawrence K. Saul
  3. Jonathon Shlens
  4. Saifon Chaturantabut
  5. Patrick LeGresley
  6. Philip S. Beran
  7. Tan Bui-Thanh
  8. Kevin T. Carlberg
  9. David Amsallem
  10. Charbel Farhat

Papers from Tino Franz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Nonlinear dimensionality reduction by locally linear embedding.
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers