Ghadir Ayache

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #25,307 of 35,345 by trust here, #34,943 by citations
• Optimization & Training — 14 citations into it
• Computer Networks and Communications — 10 citations into it; #6,794 of 9,886 by trust here, #9,768 by citations
• Computational Mechanics — 6 citations into it
• Privacy & Security — 6 citations into it

Whom Ghadir Ayache trusts overall

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

1. Vaughn Climenhaga
2. J. Dattorro
3. Francis R. Bach
4. Cynthia Dwork
5. Peter Kairouz
6. Angelia Nedić
7. Sundhar Srinivasan Ram
8. Dusan Jakovetic
9. Deanna Needell
10. Wei Shi

Who trusts Ghadir Ayache overall

1. Edwige Cyffers
2. Aurélien Bellet

Papers from Ghadir Ayache's perspective

Ordered by how strongly the researchers Ghadir Ayache 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Private Weighted Random Walk Stochastic Gradient Descent (2020) — 23 citations