Sven Magg

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #23,301 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #14,365 of 21,575 by trust here, #17,757 by citations
• Neural Architecture Search & AutoML — 16 citations into it
• Optimization & Training — 16 citations into it
• Cognitive Neuroscience — 12 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Control and Systems Engineering — 6 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Sven Magg trusts overall

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

1. Frank Hutter
2. Yoshua Bengio
3. James Bergstra
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yann LeCun
7. Sergey Ioffe
8. Kaiming He
9. Diederik P. Kingma
10. Christian Szegedy

Who trusts Sven Magg overall

1. German Ignacio Parisi
2. Luiza Mici

Papers from Sven Magg's perspective

Ordered by how strongly the researchers Sven Magg 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks (2018) — 111 citations
• A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments * (2018) — 13 citations
• Human motion assessment in real time using recurrent self-organization (2016) — 55 citations