Maarten V. de Hoop

Artificial Intelligence · with Bergen · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Geophysics — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Atomic and Molecular Physics, and Optics — 6 citations into it
• Ocean Engineering — 6 citations into it

Whom Maarten V. de Hoop trusts overall

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

1. René-Edouard Plessix
2. Wolfgang Hackbusch
3. Lawrence R. Rabiner
4. Teuvo Kohonen
5. Diederik P. Kingma
6. Lars Grasedyck
7. Steffen Börm
8. Yann LeCun
9. Jianlin Xia
10. Stéphane Operto

Papers from Maarten V. de Hoop's perspective

Ordered by how strongly the researchers Maarten V. de Hoop trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Machine learning for data-driven discovery in solid Earth geoscience (2019) — 1,045 citations
• On 3D modeling of seismic wave propagation via a structured parallel multifrontal direct Helmholtz solver (2011) — 134 citations