Damien Arnol

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Damien Arnol trusts overall

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

1. David M. Blei
2. L. V. D. van der Maaten
3. Geoffrey E. Hinton
4. Malte D. Luecken
5. Michael I. Jordan
6. Aaron T. L. Lun
7. Tommi S. Jaakkola
8. Matthew D. Hoffman
9. Yang Liao
10. Tim Stuart

Who trusts Damien Arnol overall

1. M. Matchado

Papers from Damien Arnol's perspective

Ordered by how strongly the researchers Damien Arnol 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Visualizing Data using t-SNE
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets (2018) — 1,179 citations
• MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data (2020) — 866 citations