Mattia Fiorentini

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Atomic and Molecular Physics, and Optics — 18 citations into it
• Optimization & Training — 6 citations into it

Whom Mattia Fiorentini trusts overall

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

1. Edward Farhi
2. Maria Schuld
3. Diederik P. Kingma

Papers from Mattia Fiorentini's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Learning representations by back-propagating errors
3. A Stochastic Approximation Method
4. Multilayer feedforward networks are universal approximators
5. A Quantum Approximate Optimization Algorithm
6. Supervised Learning with Tensor Networks (Neural Information Processing Systems)
7. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
8. Random Features for Large-Scale Kernel Machines
9. Quantum Computing in the NISQ era and beyond (Quantum)
10. Quantum autoencoders for efficient compression of quantum data

Their papers

• Parameterized quantum circuits as machine learning models (2019) — 1,332 citations