Simone Sagratella
Computational Mechanics · 2014
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 15 citations into it; #4,697 of 10,001 by trust here, #6,877 by citations
Whom Simone Sagratella trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Simone Sagratella overall
Papers from Simone Sagratella's perspective
Ordered by how strongly the researchers Simone Sagratella trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- 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)
- Atomic Decomposition by Basis Pursuit
- ImageNet classification with deep convolutional neural networks
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sparse Reconstruction by Separable Approximation
Their papers
- Parallel Selective Algorithms for Nonconvex Big Data Optimization (2014) — 172 citations