A. Arbouet

Atomic and Molecular Physics, and Optics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Atomic and Molecular Physics, and Optics — 22 citations into it
• Electrical and Electronic Engineering — 17 citations into it
• Electronic, Optical and Magnetic Materials — 17 citations into it
• Aerospace Engineering — 6 citations into it

Whom A. Arbouet trusts overall

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

1. Kalyanmoy Deb
2. Jiaqi Jiang
3. Stanley J. Osher
4. Jakob S. Jensen
5. Yinhao Zhu

Papers from A. Arbouet's perspective

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

1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Topology optimization for nano‐photonics
6. Multi-objective optimization using evolutionary algorithms
7. ImageNet classification with deep convolutional neural networks
8. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
9. Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
10. Deep neural networks for the evaluation and design of photonic devices

Their papers

• Deep learning in nano-photonics: inverse design and beyond (2020) — 348 citations