Gilles Trédan

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #16,831 of 35,345 by trust here, #24,417 by citations
• Safety, Robustness & Interpretability — 27 citations into it
• Safety Research — 11 citations into it
• Information Systems — 6 citations into it

Whom Gilles Trédan trusts overall

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

1. Judea Pearl
2. Florian Tramèr
3. Sara Hajian
4. Ian J. Goodfellow
5. Sainyam Galhotra
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Smitha Milli
9. Nicholas Carlini
10. Nicolas Papernot

Who trusts Gilles Trédan overall

1. Huili Chen
2. Bita Darvish Rouhani
3. Abhishek Chakraborty

Papers from Gilles Trédan's perspective

Ordered by how strongly the researchers Gilles Trédan 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Bouncer Problem: Challenges to Remote Explainability (2019) — 9 citations
• Adversarial frontier stitching for remote neural network watermarking (2017) — 398 citations