Christian Beck

Finance · 2001–2017

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Finance — 21 citations into it
• Artificial Intelligence — 10 citations into it
• Statistical and Nonlinear Physics — 9 citations into it; #2,359 of 10,127 by trust here, #3,735 by citations
• Demography — 7 citations into it
• Economics and Econometrics — 7 citations into it; #6,459 of 23,481 by trust here, #16,755 by citations
• Management Science and Operations Research — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Model Architectures — 5 citations into it

Whom Christian Beck trusts overall

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

1. Shige Peng
2. Jianfeng Zhang
3. Sebastian Ruder
4. Diederik P. Kingma
5. Sergey Ioffe
6. Yann LeCun
7. D. Crisan
8. Jean-François Chassagneux
9. Yoshua Bengio
10. Franccois Delarue

Who trusts Christian Beck overall

1. N. Mordant
2. Gregory A. Voth
3. A. Crawford
4. Eberhard Bodenschatz
5. Constantino Tsallis
6. A. Porta
7. Grant M. Rotskoff
8. Madan Mohan Sati
9. Andrew Caplin
10. Aleksei V. Chechkin

Papers from Christian Beck's perspective

Ordered by how strongly the researchers Christian Beck 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generalised information and entropy measures in physics (2009) — 257 citations
• Dynamical Foundations of Nonextensive Statistical Mechanics (2001) — 435 citations
• Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations (2017) — 364 citations