Milan Picard

Molecular Biology · 2021

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

• Molecular Biology — 28 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Milan Picard trusts overall

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

1. Markus Ringnér
2. Eric J. Beh
3. Ingo Steinwart
4. Daniel D. Lee
5. Bernhard Schölkopf
6. Marinka Zitnik
7. David Roi Hardoon
8. Yan V. Sun
9. Hui Zou
10. Ronglai Shen

Papers from Milan Picard's perspective

Ordered by how strongly the researchers Milan Picard 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Integration strategies of multi-omics data for machine learning analysis (2021) — 525 citations