Clémence Réda

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Clémence Réda trusts overall

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

1. Sofia S. Villar
2. Kirthevasan Kandasamy
3. James Y. Zou
4. Marinka Zitnik
5. Hongming Chen
6. Xiangxiang Zeng
7. John C. Gittins
8. D. Berry
9. David B. Fogel
10. I. Khanna

Papers from Clémence Réda's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Machine learning applications in drug development (2019) — 184 citations