Andrea Rocchetto

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Atomic and Molecular Physics, and Optics — 15 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it

Whom Andrea Rocchetto trusts overall

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

1. Radford M. Neal

Papers from Andrea Rocchetto's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. GENERATIVE ADVERSARIAL NETS
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Improved Techniques for Training GANs
5. Rethinking the Inception Architecture for Computer Vision
6. Training Products of Experts by Minimizing Contrastive Divergence
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Mastering the game of Go with deep neural networks and tree search

Their papers

• Quantum machine learning: a classical perspective (2017) — 544 citations