Sebastien Baur

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 46 citations into it
• Computational Biology & Bioinformatics — 25 citations into it

Whom Sebastien Baur trusts overall

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

1. Matteo Figliuzzi
2. Stefan Seemayer

Papers from Sebastien Baur's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Language Models are Unsupervised Multitask Learners
3. Attention is All you Need (Neural Information Processing Systems)
4. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
5. WaveNet: A Generative Model for Raw Audio
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. ImageNet classification with deep convolutional neural networks
9. Pixel Recurrent Neural Networks
10. Generating Sentences from a Continuous Space

Their papers

• Generating functional protein variants with variational autoencoders (2020) — 210 citations