Hans-Georg Zimmermann
Model Architectures · 1996–2012
A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 14 citations into it; #1,181 of 2,278 by trust here, #1,726 by citations
- Artificial Intelligence — 6 citations into it; #11,402 of 35,345 by trust here, #16,471 by citations
Whom Hans-Georg Zimmermann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David E. Rumelhart
- Paul J. Werbos
- Ronald J. Williams
- Anton Maximilian Schäfer
- George V. Cybenko
- Geoffrey E. Hinton
- Ken-ichi Funahashi
- Sepp Hochreiter
- Simon S. Haykin
- David Zipser
Who trusts Hans-Georg Zimmermann overall
- J. Urgen Schmidhuber
- Kasun Bandara
- N. Schraudolph
- Daniel Hein
- Laurence Aitchison
- Christoph Bergmeir
- Nikolaus Kriegeskorte
- Steffen Udluft
- Hansika Hewamalage
- Vasileios Belagiannis
Papers from Hans-Georg Zimmermann's perspective
Ordered by how strongly the researchers Hans-Georg Zimmermann trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Learning internal representations by error propagation
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Recurrent Neural Networks Are Universal Approximators (2006) — 480 citations
- Learning Long Term Dependencies with Recurrent Neural Networks (2006) — 64 citations
- Forecasting with Recurrent Neural Networks: 12 Tricks (2012) — 58 citations
- Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem (2012) — 4 citations
- How to Train Neural Networks (1996)
- Early Brain Damage (1996)