Felix Dietrich

Statistical and Nonlinear Physics · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Felix Dietrich trusts overall

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

  1. Sebastian Ruder
  2. Milan Korda
  3. Igor Mezi'c
  4. Matthew O. Williams
  5. Mario Bertero

Who trusts Felix Dietrich overall

  1. Jared D. Willard
  2. Frank No'e
  3. Hao Wu
  4. Naoya Takeishi
  5. Enoch Yeung
  6. Elizabeth Qian
  7. Xiaowei Jia

Papers from Felix Dietrich's perspective

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

  1. Deep Learning
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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