Alexandra Melike Brintrup

Industrial and Manufacturing Engineering · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Industrial and Manufacturing Engineering — 24 citations into it
• Artificial Intelligence — 11 citations into it; #30,924 of 35,345 by trust here, #31,361 by citations
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Alexandra Melike Brintrup trusts overall

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

1. Abbas Khosravi
2. José Miguel Hernández-Lobato
3. Balaji Lakshminarayanan
4. Alex Graves
5. Somayeh Danafar
6. Yang Lu
7. David John Cameron MacKay
8. Saeid Nahavandi
9. Geoffrey E. Hinton
10. Yarin Gal

Who trusts Alexandra Melike Brintrup overall

1. Natasa Tagasovska

Papers from Alexandra Melike Brintrup's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach (2018) — 334 citations
• Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions (2020) — 550 citations