Roman Rosipal
Statistical Learning Theory · 2002–2005
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Statistical Learning Theory — 7 citations into it
- Statistics and Probability — 7 citations into it; #1,504 of 12,932 by trust here, #2,919 by citations
- Analytical Chemistry — 6 citations into it; #65 of 1,254 by trust here, #270 by citations
Whom Roman Rosipal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- Craig John Saunders
- Inge S. Helland
- Eric R. Ziegel
- Dustin Boswell
- M. Stone
- Beresford N. Parlett
- Federico Girosi
- Bernhard Schölkopf
- Jerome H. Friedman
Who trusts Roman Rosipal overall
- Kaiye Wang
- Thierry Bouwmans
- Shinichi Nakajima
- Han-Ming Wu
- Paul Honeine
- Malte Kuss
- S. Qin
- Elnaz Barshan
- Cuicui Kang
- Abhishek Sharma
Papers from Roman Rosipal's perspective
Ordered by how strongly the researchers Roman Rosipal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- The Nature of Statistical Learning Theory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Overview and Recent Advances in Partial Least Squares (2005) — 1,187 citations
- Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (2002) — 1,023 citations