U. von Toussaint
Statistics and Probability · 2011
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 32 citations into it; #4,585 of 12,932 by trust here, #9,233 by citations
- Artificial Intelligence — 28 citations into it; #12,892 of 35,345 by trust here, #29,412 by citations
- Astronomy and Astrophysics — 16 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Statistical and Nonlinear Physics — 9 citations into it; #2,856 of 10,127 by trust here, #7,747 by citations
- Computational Theory and Mathematics — 7 citations into it
- Nuclear and High Energy Physics — 7 citations into it
- Molecular Biology — 6 citations into it
Whom U. von Toussaint trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- Gareth O. Roberts
- Andrew R. Liddle
- Roberto Trotta
- P. Gregory
- Andrew Gelman
- Jason T. Wright
- Olivier Capp'e
- Jeremy E. Oakley
- Peter J. Green
Who trusts U. von Toussaint overall
Papers from U. von Toussaint's perspective
Ordered by how strongly the researchers U. von Toussaint 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- Bayesian inference in physics (2011) — 366 citations