Jean-Yves Franceschi

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #15,437 of 35,345 by trust here, #20,377 by citations
• Computer Vision and Pattern Recognition — 30 citations into it
• Signal Processing — 15 citations into it; #3,646 of 7,572 by trust here, #4,051 by citations
• Model Architectures — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Jean-Yves Franceschi trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Anthony J. Bagnall
5. Alex Krizhevsky
6. Ilya Sutskever
7. Yoshua Bengio
8. Yann LeCun
9. Tomas Mikolov
10. Jimmy Ba

Who trusts Jean-Yves Franceschi overall

1. Jeremy M. Cohen
2. Marc Khoury
3. Angus Dempster
4. Elan Rosenfeld
5. Sana Tonekaboni
6. Lifeng Shen
7. Linus Ericsson
8. Gerald Woo
9. Tian Zhou
10. George Zerveas

Papers from Jean-Yves Franceschi's perspective

Ordered by how strongly the researchers Jean-Yves Franceschi 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Unsupervised Scalable Representation Learning for Multivariate Time Series (2019) — 638 citations
• Robustness of classifiers to uniform 𝓁p and Gaussian noise (2018) — 31 citations
• Robustness of classifiers to uniform $\ell_p$ and Gaussian noise (2018) — 21 citations