Louise Wright
Advanced Modeling and Simulation in Engineering Sciences · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Louise Wright trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Louise Wright's perspective
Ordered by how strongly the researchers Louise Wright trusts endorse each paper. Same corpus, a different order for every researcher.
- Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
- Calculating the singular values and pseudo-inverse of a matrix
- Inverse Methods for Atmospheric Sounding: Theory and Practice
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Networks for Pattern Recognition
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Using the Nyström Method to Speed Up Kernel Machines
- Rectified Linear Units Improve Restricted Boltzmann Machines
Their papers
- How to tell the difference between a model and a digital twin (2020) — 512 citations