Tobias Glasmachers

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Glasmachers trusts overall

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

  1. Ingo Steinwart
  2. Yi Sun
  3. Chih-Jen Lin
  4. Nikolaus Hansen
  5. Arthur Gretton
  6. Daan Wierstra
  7. Tom Schaul
  8. Yoonkyung Lee
  9. Geoffrey E. Hinton
  10. Jason Aaron Edward Weston

Who trusts Tobias Glasmachers overall

  1. J. Urgen Schmidhuber
  2. Nikolaus Hansen
  3. Tim Salimans
  4. Marijn F. Stollenga
  5. Giuseppe Cuccu
  6. Asja Fischer
  7. Yoshua Bengio
  8. Sergey Levine
  9. Faustino J. Gomez
  10. Anton Osokin

Papers from Tobias Glasmachers's perspective

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

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

Their papers