Benedikt Bauer

Statistics and Probability · 2019

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

Subfields

• Statistics and Probability — 6 citations into it; #7,826 of 12,932 by trust here, #8,740 by citations
• Artificial Intelligence — 5 citations into it; #21,291 of 35,345 by trust here, #28,481 by citations

Whom Benedikt Bauer trusts overall

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

1. C. Stone
2. Tomas Sauer
3. Andrew R. Barron
4. J. Urgen Schmidhuber
5. Yann LeCun
6. Jerome H. Friedman
7. Martin H. Anthony
8. Hrushikesh Narhar Mhaskar
9. Ronen Eldan
10. Yan Yu

Who trusts Benedikt Bauer overall

1. Zhuoran Yang
2. Johannes Schmidt-Hieber
3. Yuchen Xie
4. Max H. Farrell
5. Nicholas G. Polson
6. Zhaoran Wang
7. Tengyuan Liang

Papers from Benedikt Bauer's perspective

Ordered by how strongly the researchers Benedikt Bauer 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On deep learning as a remedy for the curse of dimensionality in nonparametric regression (2019) — 312 citations