Rawad Bitar

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #14,982 of 35,345 by trust here, #21,878 by citations
• Computer Networks and Communications — 45 citations into it; #3,488 of 9,886 by trust here, #5,733 by citations
• Computational Theory and Mathematics — 21 citations into it
• ML Systems & Hardware — 16 citations into it
• Privacy & Security — 15 citations into it
• Information Systems — 12 citations into it; #6,356 of 8,771 by trust here, #6,770 by citations
• Electrical and Electronic Engineering — 6 citations into it
• Hardware and Architecture — 6 citations into it

Whom Rawad Bitar trusts overall

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

1. Johannes Blömer
2. Muthu Dayalan
3. Salim el Rouayheb
4. Wentao Huang
5. Huaxiong Wang
6. Amos Beimel
7. Qian Yu
8. Razane Tajeddine
9. Swanand Ravindra Kadhe
10. Mikhail J. Atallah

Who trusts Rawad Bitar overall

1. Salim el Rouayheb
2. Wentao Huang
3. Rafael G. L. D'Oliveira
4. Parimal Parag
5. Heecheol Yang
6. Wei-Ting Chang
7. Michael Langberg
8. Jungwoo Lee
9. Jörg Kliewer
10. Ravi Tandon

Papers from Rawad Bitar's perspective

Ordered by how strongly the researchers Rawad Bitar 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. Learning Multiple Layers of Features from Tiny Images
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Staircase-PIR: Universally Robust Private Information Retrieval (2018) — 29 citations
• Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes (2018) — 53 citations
• Minimizing latency for secure distributed computing (2017) — 78 citations
• Staircase codes for secret sharing with optimal communication and read overheads (2015) — 57 citations