Arthur Tenenhaus

Statistics and Probability · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 18 citations into it
• Artificial Intelligence — 9 citations into it; #7,181 of 35,345 by trust here, #18,586 by citations
• Statistical Learning Theory — 7 citations into it
• Analytical Chemistry — 5 citations into it

Whom Arthur Tenenhaus trusts overall

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

1. Michel Tenenhaus
2. John Shawe-Taylor
3. Yoshio Takane
4. Juliane Schäfer
5. Arthur Gretton
6. Nello Cristianini
7. Heungsun Hwang
8. Korbinian Strimmer
9. Aeilko H. Zwinderman
10. W. Hoeffding

Who trusts Arthur Tenenhaus overall

1. Jörg Henseler
2. Marko Sarstedt
3. Giorgio Russolillo
4. Christian M. Ringle
5. Joseph F. Hair
6. Aviv Eisenschtat
7. Julien Boccard
8. Edward E. Rigdon
9. Geoffrey S. Hubona
10. Serge Rudaz

Papers from Arthur Tenenhaus's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Kernel Methods for Pattern Analysis
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Measuring Statistical Dependence with Hilbert-Schmidt Norms
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Relations Between Two Sets of Variates

Their papers

• A low variance consistent test of relative dependency (2014) — 8 citations
• Regularized Generalized Canonical Correlation Analysis (2011) — 379 citations