Manfred Salmhofer

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #18,732 of 35,345 by trust here, #12,244 by citations
• Condensed Matter Physics — 18 citations into it
• Electronic, Optical and Magnetic Materials — 14 citations into it
• Optimization & Training — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #11,808 of 21,575 by trust here, #8,502 by citations
• Atomic and Molecular Physics, and Optics — 9 citations into it
• Model Architectures — 6 citations into it

Whom Manfred Salmhofer trusts overall

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

1. M. Metlitski
2. Alex Krizhevsky
3. Thierry Giamarchi
4. Kaiming He
5. Sergey Ioffe
6. S. Sachdev
7. H. Gies
8. Geoffrey E. Hinton
9. A. Chubukov
10. Christian Szegedy

Who trusts Manfred Salmhofer overall

1. K. Fredenhagen
2. W. Metzner
3. K. Rejzner
4. Oliver J. Rosten
5. Carsten Honerkamp
6. Jens Braun
7. Pavel Izmailov
8. V. Meden
9. Andrew Gordon Wilson
10. Stanislav Fort

Papers from Manfred Salmhofer's perspective

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

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

Their papers

• Essentially No Barriers in Neural Network Energy Landscape (2018) — 557 citations
• Functional renormalization group approach to correlated fermion systems (2011) — 465 citations
• Renormalization: An Introduction (2007) — 211 citations
• Fermionic Renormalization Group Flows: Technique and Theory (2001) — 203 citations