Andreas Doerr

Probabilistic & Bayesian Methods · 2018

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

• Probabilistic & Bayesian Methods — 8 citations into it

Whom Andreas Doerr trusts overall

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

1. Diederik P. Kingma
2. Michalis K. Titsias
3. Carl E. Rasmussen
4. Sepp Hochreiter
5. Marc Peter Deisenroth
6. Edward Snelson
7. Geoffrey E. Hinton
8. Jonathan Ko
9. David M. Blei
10. J. Urgen Schmidhuber

Who trusts Andreas Doerr overall

1. Danijar Hafner
2. Hao Wang
3. Timothy P. Lillicrap
4. Alex X. Lee
5. Dit-Yan Yeung

Papers from Andreas Doerr's perspective

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

Their papers

• Probabilistic Recurrent State-Space Models (2018) — 149 citations