Edouard Mehlman

Molecular Biology · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 51 citations into it
• Artificial Intelligence — 16 citations into it

Whom Edouard Mehlman trusts overall

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

1. Diederik P. Kingma
2. Christoph Hafemeister
3. Sergey Ioffe

Papers from Edouard Mehlman's perspective

Ordered by how strongly the researchers Edouard Mehlman 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models (2019) — 591 citations
• A Python library for probabilistic analysis of single-cell omics data (2022) — 658 citations