Greg Van Houdt

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Model Architectures — 19 citations into it
• Signal Processing — 10 citations into it
• Natural Language Processing — 8 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Cognitive Neuroscience — 6 citations into it
• Automotive Engineering — 5 citations into it

Whom Greg Van Houdt trusts overall

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

1. J. Urgen Schmidhuber
2. Alex Graves
3. Paul J. Werbos
4. Sepp Hochreiter
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Felix Alexander Gers
8. Ilya Sutskever
9. Yann LeCun
10. Alex Krizhevsky

Who trusts Greg Van Houdt overall

1. Parvathaneni Naga Srinivasu
2. Jalluri Gnana SivaSai

Papers from Greg Van Houdt's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A review on the long short-term memory model (2020) — 1,735 citations