Romeo Despres

Generative Models · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Romeo Despres trusts

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

1. Shakir Mohamed (in Generative Models)
2. Diederik P. Kingma (in Artificial Intelligence)
3. Danilo Jimenez Rezende (in Generative Models)

Papers from Romeo Despres's perspective

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

1. Variational Inference with Normalizing Flows
2. Improved Variational Inference with Inverse Autoregressive Flow
3. Masked Autoregressive Flow for Density Estimation
4. Variational Lossy Autoencoder
5. Wasserstein Auto-Encoders
6. Attention is All you Need (Neural Information Processing Systems)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Universal audio synthesizer control with normalizing flows (2019) — 46 citations