David Sutter

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Scaling & Learning Theory — 8 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Optimization & Training — 6 citations into it

Whom David Sutter trusts overall

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

1. Shun-ichi Amari
2. Jorma Rissanen
3. Peter D. Grünwald
4. Eduardo Sontag
5. Zhiwei Jia
6. Behnam Neyshabur
7. Yann LeCun
8. Ryo Karakida
9. Frederik Kunstner
10. Christa Zoufal

Who trusts David Sutter overall

1. M. Cerezo

Papers from David Sutter's perspective

Ordered by how strongly the researchers David Sutter 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Information Theory: 1948-1998 - Guest Editorial
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Efficient BackProp
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• The power of quantum neural networks (2020) — 1,167 citations