Immanuel M. Bomze

Optimization & Training · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Immanuel M. Bomze trusts overall

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

  1. Simon Lacoste-Julien
  2. Philip Wolfe
  3. Kenneth L. Clarkson
  4. Martin Jaggi

Papers from Immanuel M. Bomze's perspective

Ordered by how strongly the researchers Immanuel M. Bomze 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. An algorithm for quadratic programming
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers