Andrea Mari

Atomic and Molecular Physics, and Optics · 2008–2020

A researcher in the Science corpus: 8 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Atomic and Molecular Physics, and Optics — 109 citations into it; #2,516 of 7,135 by trust here, #3,907 by citations
• Artificial Intelligence — 101 citations into it; #17,226 of 35,345 by trust here, #15,004 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Andrea Mari trusts overall

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

1. Alex Krizhevsky
2. Maria Schuld
3. Nathan Killoran
4. Ville Bergholm
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Suzanna Becker

Who trusts Andrea Mari overall

1. Victor Veitch
2. David Wierichs
3. Joseph Emerson
4. C. Ferrie
5. David Gross
6. Josh A. Izaac
7. S. Mousavian
8. Claude Fabre
9. Lennart Bittel
10. Cody Wang

Papers from Andrea Mari's perspective

Ordered by how strongly the researchers Andrea Mari 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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. Going deeper with convolutions

Their papers

• Estimating the gradient and higher-order derivatives on quantum hardware (2020) — 163 citations
• Digital zero noise extrapolation for quantum error mitigation (2020) — 372 citations
• Transfer learning in hybrid classical-quantum neural networks (2019) — 445 citations
• Charger-mediated energy transfer for quantum batteries: An open-system approach (2018) — 183 citations
• Charger-mediated energy transfer in exactly solvable models for quantum batteries (2018) — 184 citations
• Positive Wigner functions render classical simulation of quantum computation efficient. (2012) — 421 citations
• Quantum Effects in Optomechanical Systems (2009) — 135 citations
• Robust entanglement of a micromechanical resonator with output optical fields (2008) — 256 citations