Simon Rogers
Computational Theory and Mathematics · 2003–2019
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 11 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Artificial Intelligence — 7 citations into it; #6,156 of 35,345 by trust here, #15,866 by citations
- Optimization & Training — 5 citations into it
Whom Simon Rogers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher K. I. Williams
- Matthias W. Seeger
- Manfred Opper
- Tom Minka
- Lehel Csató
- Neil D. Lawrence
- Malte Kuss
- Jim Albert
- Kaibo Duan
- Michael I. Jordan
Who trusts Simon Rogers overall
- James Hensman
- Alexander G. de G. Matthews
- John Thomas Ormerod
- Hannes Nickisch
- David A. Knowles
- T. Damoulas
- Zoubin Ghahramani
- Thi Nhat Anh Nguyen
- John Bradshaw
- Jonathan Wenger
Papers from Simon Rogers's perspective
Ordered by how strongly the researchers Simon Rogers trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Using the Nyström Method to Speed Up Kernel Machines
- Information Theory, Inference, and Learning Algorithms
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors (2006) — 223 citations
- Estimating Dataset Size Requirements for Classifying DNA Microarray Data (2003) — 301 citations
- MolNetEnhancer: Enhanced Molecular Networks by Integrating Metabolome Mining and Annotation Tools (2019) — 330 citations
- Feature-Based Molecular Networking in the GNPS Analysis Environment (2019) — 1,337 citations