Karl Rohe

Statistical and Nonlinear Physics · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 20 citations into it; #1,746 of 10,127 by trust here, #3,172 by citations
• Statistics and Probability — 20 citations into it; #9,023 of 12,932 by trust here, #12,603 by citations
• Artificial Intelligence — 16 citations into it; #24,582 of 35,345 by trust here, #33,294 by citations
• Genetics — 10 citations into it
• Molecular Biology — 10 citations into it
• Paleontology — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Geometry and Topology — 7 citations into it

Whom Karl Rohe trusts overall

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

1. Robert Tibshirani
2. Hui Zou
3. Ulrike von Luxburg
4. Miroslav Fiedler
5. Mikhail Belkin
6. Jianbo Shi
7. Cun-Hui Zhang
8. Trevor J. Hastie
9. Jianqing Fan
10. Sara A. van de Geer

Who trusts Karl Rohe overall

1. Elchanan Mossel
2. Tommaso Cai
3. Debashis Paul
4. Avanti Athreya
5. Yuejie Chi
6. Yi Yu
7. Alain Celisse
8. Yunpeng Zhao
9. Minh Tang
10. Jiashun Jin

Papers from Karl Rohe's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Normalized cuts and image segmentation

Their papers

• Preconditioning the Lasso for sign consistency (2015) — 53 citations
• Fast and accurate detection of evolutionary shifts in Ornstein–Uhlenbeck models (2016) — 223 citations
• Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel (2013) — 327 citations
• Spectral clustering and the high-dimensional stochastic blockmodel (2010) — 997 citations