Grégoire Ferré

Materials Chemistry · 2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 19 citations into it; #7,619 of 11,513 by trust here, #10,685 by citations
• Physical and Theoretical Chemistry — 5 citations into it

Whom Grégoire Ferré trusts overall

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

1. J. Behler
2. Christopher K. I. Williams
3. A. P. Bart'ok
4. Risi Kondor

Who trusts Grégoire Ferré overall

1. Yu-Hang Tang
2. Stefan Chmiela
3. Dongkun Zhang
4. Huziel E. Sauceda

Papers from Grégoire Ferré's perspective

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

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

Their papers

• Learning molecular energies using localized graph kernels. (2016) — 55 citations
• Learning Potential Energy Landscapes using Graph Kernels (2016)