Roel Uytterhoeven

IEEE International Solid-State Circuits Conference · 2017

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

Whom Roel Uytterhoeven trusts overall

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

1. Bert Moons

Who trusts Roel Uytterhoeven overall

1. Shimeng Yu
2. Yu-hsin Chen

Papers from Roel Uytterhoeven's perspective

Ordered by how strongly the researchers Roel Uytterhoeven trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Learning
2. Origami: A Convolutional Network Accelerator
3. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
4. A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• 14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI (2017) — 400 citations