Emanuele Frandi

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Optimization & Training — 12 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Computational Mechanics — 6 citations into it

Whom Emanuele Frandi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shai Shalev-Shwartz
2. Martin Jaggi
3. Bernhard Schölkopf
4. S. Sathiya Keerthi
5. Katya Scheinberg
6. Kenneth L. Clarkson
7. Thomas Hofmann
8. Alex Smola
9. Chih-Jen Lin
10. Amir Beck

Papers from Emanuele Frandi's perspective

Ordered by how strongly the researchers Emanuele Frandi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training (2013) — 39 citations