Bodo Rueckauer
Electrical and Electronic Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 15 citations into it; #10,988 of 16,539 by trust here, #9,210 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Artificial Intelligence — 7 citations into it
- Cognitive Neuroscience — 6 citations into it; #7,623 of 10,852 by trust here, #5,844 by citations
Whom Bodo Rueckauer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Matthieu Courbariaux
- Sergey Ioffe
- Yoshua Bengio
- Yann LeCun
- Christian Szegedy
- Geoffrey E. Hinton
- Steven K. Esser
- Ilya Sutskever
- Timothée Masquelier
Who trusts Bodo Rueckauer overall
- Wei Fang
- Kaushik Roy
- Nitin Rathi
- Bing Han
- Kashu Yamazaki
- Seijoon Kim
- Charlotte Frenkel
- Chankyu Lee
- Abhronil Sengupta
- Zhaofei Yu
Papers from Bodo Rueckauer's perspective
Ordered by how strongly the researchers Bodo Rueckauer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)