Alex T. Müller

Molecular Biology · 2017

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

Subfields

• Molecular Biology — 7 citations into it

Whom Alex T. Müller trusts overall

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

1. X. Liu

Who trusts Alex T. Müller overall

1. Tânia F Cova
2. Francesca Grisoni
3. Zaccary Alperstein

Papers from Alex T. Müller's perspective

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

1. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
2. Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
3. Deep Recurrent Neural Network for Protein Function Prediction from Sequence
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Neural Turing Machines
10. ImageNet classification with deep convolutional neural networks

Their papers

• Generative Recurrent Networks for De Novo Drug Design (2017) — 453 citations