David Marco Sommer

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #29,882 of 35,345 by trust here, #26,682 by citations
• Signal Processing — 17 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Information Systems — 11 citations into it
• Privacy & Security — 9 citations into it

Whom David Marco Sommer trusts overall

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

1. Diederik P. Kingma
2. Sepp Hochreiter
3. Patrick Grother
4. Geoffrey E. Hinton
5. Yann LeCun
6. Alex Krizhevsky
7. Congzheng Song
8. Kaiming He
9. Yoshua Bengio
10. Jimmy Ba

Who trusts David Marco Sommer overall

1. Jonathan Brophy
2. Daniel Lowd

Papers from David Marco Sommer's perspective

Ordered by how strongly the researchers David Marco Sommer 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Probabilistic Verification of Machine Unlearning (2020) — 86 citations
• ROTE: Rollback Protection for Trusted Execution (2017) — 263 citations