Guy Lorberbom

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Generative Models — 12 citations into it
• Optimization & Training — 5 citations into it
• Signal Processing — 5 citations into it

Whom Guy Lorberbom trusts overall

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

1. Diederik P. Kingma
2. David M. Blei
3. Ruslan Salakhutdinov
4. Ronald J. Williams
5. Andriy Mnih
6. Geoffrey E. Hinton
7. Danilo Jimenez Rezende
8. Yoshua Bengio
9. Michael I. Jordan
10. Alex Krizhevsky

Who trusts Guy Lorberbom overall

1. Yash Goyal
2. Amir Feder

Papers from Guy Lorberbom's perspective

Ordered by how strongly the researchers Guy Lorberbom 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Direct Optimization through arg max for Discrete Variational Auto-Encoder (2019) — 41 citations