Amirali Boroumand

Hardware and Architecture · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Hardware and Architecture — 34 citations into it
• Computer Networks and Communications — 30 citations into it

Whom Amirali Boroumand trusts overall

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

1. Yoongu Kim
2. Karen Simonyan
3. Kaiming He
4. Christian Szegedy
5. Andrew Zisserman
6. Junwhan Ahn
7. Onur Mutlu
8. X. Zhang
9. Sergey Ioffe
10. George Toderici

Papers from Amirali Boroumand's perspective

Ordered by how strongly the researchers Amirali Boroumand 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks (2018) — 376 citations
• Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology (2017) — 638 citations