Benoit Charmettant

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 17 citations into it
• Materials Chemistry — 12 citations into it
• Computational Biology & Bioinformatics — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Benoit Charmettant trusts overall

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

1. Kliment Olechnovic
2. Djork-Arné Clevert
3. Izhar Wallach
4. Č. Venclovas
5. Valerio Mariani
6. Krzysztof Ginalski
7. Georgy Derevyanko
8. Yani Ioannou

Who trusts Benoit Charmettant overall

1. Raphael J. L. Townshend
2. Bowen Jing

Papers from Benoit Charmettant's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. TensorFlow: A system for large-scale machine learning

Their papers

• Protein model quality assessment using 3D oriented convolutional neural networks (2018) — 82 citations