Danil Dold

Probabilistic & Bayesian Methods · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Generative Models — 6 citations into it

Whom Danil Dold trusts overall

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

1. Danilo Jimenez Rezende
2. Charles Blundell

Papers from Danil Dold's perspective

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

1. Variational Inference with Normalizing Flows
2. Density estimation using Real NVP
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Bernstein flows for flexible posteriors in variational Bayes (2022) — 4 citations