Philippe Berger

Astronomy and Astrophysics · 2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 36 citations into it
• Instrumentation — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Philippe Berger trusts overall

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

1. Sergey Ioffe
2. Kaiming He
3. Olaf Ronneberger
4. Fausto Milletarì
5. Christian Szegedy
6. J. Tinker
7. Sarah Verschueren
8. X. Zhang
9. Andrey V. Kravtsov
10. Shaoqing Ren

Papers from Philippe Berger's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• The CHIME Fast Radio Burst Project: System Overview (2018) — 317 citations
• A volumetric deep Convolutional Neural Network for simulation of dark matter halo catalogues (2018) — 45 citations