Arsany Guirguis

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Optimization & Training — 23 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Federated & Distributed Learning — 9 citations into it

Whom Arsany Guirguis trusts overall

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

1. El Mahdi El Mhamdi
2. L. Eon Bottou
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Nitish Srivastava
6. Miguel Oom Temudo de Castro
7. Martín Abadi
8. Peva Blanchard
9. Rachid Guerraoui
10. Dan Alistarh

Papers from Arsany Guirguis's perspective

Ordered by how strongly the researchers Arsany Guirguis 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. Dropout: a simple way to prevent neural networks from overfitting
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Large Scale Distributed Deep Networks
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• SGD: Decentralized Byzantine Resilience (2019) — 19 citations
• AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation (2019) — 96 citations