A. D. Kroon

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it

Whom A. D. Kroon trusts overall

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

1. Yarin Gal

Papers from A. D. Kroon's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Dropout: a simple way to prevent neural networks from overfitting
6. Understanding the difficulty of training deep feedforward neural networks
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. AUTO-ENCODING VARIATIONAL BAYES
10. The Arcade Learning Environment: An Evaluation Platform for General Agents

Their papers

• A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks (2019) — 125 citations