Gregor Lenz

Electrical and Electronic Engineering · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 47 citations into it
• Cognitive Neuroscience — 44 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Neuroscience — 8 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Gregor Lenz trusts overall

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

1. Geoffrey E. Hinton
2. Ronald J. Williams
3. Diederik P. Kingma
4. Yoshua Bengio
5. Kaiming He

Papers from Gregor Lenz's perspective

Ordered by how strongly the researchers Gregor Lenz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
9. Understanding the difficulty of training deep feedforward neural networks
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Training Spiking Neural Networks Using Lessons From Deep Learning (2021) — 895 citations