M. Büchner
Finance · 2018
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Finance — 21 citations into it
- Economics and Econometrics — 19 citations into it
- Management Science and Operations Research — 11 citations into it
- Statistics and Probability — 11 citations into it; #7,958 of 12,932 by trust here, #11,487 by citations
- Optimization & Training — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom M. Büchner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- James H. Stock
- Trevor J. Hastie
- Hui Zou
- Tong Tong Wu
- Ilya Sutskever
- Robert Tibshirani
- Graham Elliott
- Shihao Gu
- Mark W. Watson
Who trusts M. Büchner overall
Papers from M. Büchner's perspective
Ordered by how strongly the researchers M. Büchner trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- On the importance of initialization and momentum in deep learning
- Addendum: Regularization and variable selection via the elastic net
- Regression Shrinkage and Selection via the Lasso
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images