Ivonne Kovylov

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 Ivonne Kovylov trusts

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

1. Shakir Mohamed (in Artificial Intelligence)
2. Danilo Jimenez Rezende (in Artificial Intelligence)

Papers from Ivonne Kovylov's perspective

Ordered by how strongly the researchers Ivonne Kovylov 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. Masked Autoregressive Flow for Density Estimation
4. Black Box Variational Inference
5. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet classification with deep convolutional neural networks
10. Gradient-based learning applied to document recognition

Their papers

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