Thomas G. Fischer

Economics and Econometrics · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas G. Fischer trusts overall

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

  1. Nicolas Huck
  2. Christopher Krauss
  3. Narasimhan Jegadeesh
  4. B. Malkiel
  5. L. Takeuchi
  6. Alex Graves
  7. Isaac Madan
  8. Trevor J. Hastie
  9. J. Urgen Schmidhuber
  10. Yarin Gal

Who trusts Thomas G. Fischer overall

  1. Omer Berat Sezer
  2. Weiwei Jiang
  3. A. Ozbayoglu
  4. Sima Siami‐Namini
  5. Anastasia Borovykh
  6. Mathias Kraus
  7. M. Ugur Gudelek
  8. Saptarshi Sengupta
  9. Guosheng Hu
  10. Neda Tavakoli

Papers from Thomas G. Fischer's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers