André Biedenkapp

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #34,326 of 35,345 by trust here, #29,412 by citations
• Computational Theory and Mathematics — 17 citations into it; #11,858 of 12,182 by trust here, #10,901 by citations
• Neural Architecture Search & AutoML — 14 citations into it
• Computer Networks and Communications — 10 citations into it
• Optimization & Training — 8 citations into it

Whom André Biedenkapp trusts overall

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

1. Frank Hutter
2. Holger H. Hoos
3. Kevin Leyton-Brown
4. Lin Xu
5. Lars Kotthoff
6. John R. Rice
7. Trevor J. Hastie
8. Mauro Birattari
9. Katharina Eggensperger
10. Thomas Stützle

Who trusts André Biedenkapp overall

1. Philipp Probst
2. Anne-Laure Boulesteix
3. Bernd Bischl

Papers from André Biedenkapp's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Learning Multiple Layers of Features from Tiny Images
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Practical Bayesian Optimization of Machine Learning Algorithms
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization (2021) — 526 citations
• Efficient Parameter Importance Analysis via Ablation with Surrogates (2017) — 59 citations