Christoph Feinauer

Molecular Biology · 2014–2020

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

Subfields

• Molecular Biology — 66 citations into it; #10,929 of 17,773 by trust here, #9,851 by citations
• Model Architectures — 5 citations into it

Whom Christoph Feinauer trusts overall

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

1. E. Gardner
2. M. M'ezard
3. Max Welling

Who trusts Christoph Feinauer overall

1. Jérôme Tubiana
2. Anne-Florence Bitbol
3. Robin Pearce

Papers from Christoph Feinauer's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Densely Connected Convolutional Networks
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
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

• Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners (2014) — 137 citations
• Inverse statistical physics of protein sequences: a key issues review (2017) — 242 citations
• Entropic gradient descent algorithms and wide flat minima (2020) — 40 citations