Michael Lognoul

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Michael Lognoul trusts overall

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

1. Berk Ustun
2. Robert Tibshirani
3. Cynthia Rudin
4. Karen Simonyan
5. Trevor J. Hastie
6. Parag Singla
7. Adrien Bibal
8. Stefano Tracà
9. Leo Breiman

Papers from Michael Lognoul's perspective

Ordered by how strongly the researchers Michael Lognoul 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Regression Shrinkage and Selection via the Lasso
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Legal requirements on explainability in machine learning (2020) — 138 citations