Andrew T. Sornborger

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it; #16,554 of 35,345 by trust here, #17,110 by citations
• Atomic and Molecular Physics, and Optics — 42 citations into it

Whom Andrew T. Sornborger trusts overall

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

1. Farrokh Vatan

Who trusts Andrew T. Sornborger overall

1. M. Cerezo
2. Eric R. Anschuetz

Papers from Andrew T. Sornborger's perspective

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

1. Gradient-based learning applied to document recognition
2. Et al
3. Learning representations by back-propagating errors
4. Understanding the difficulty of training deep feedforward neural networks
5. A Quantum Approximate Optimization Algorithm
6. Deep Sparse Rectifier Neural Networks
7. Quantum Computation and Quantum Information: Bibliography
8. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
9. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
10. Barren plateaus in quantum neural network training landscapes (Nature Communications)

Their papers

• Generalization in quantum machine learning from few training data (2021) — 559 citations
• Absence of Barren Plateaus in Quantum Convolutional Neural Networks (2020) — 389 citations
• Quantum-assisted quantum compiling (2018) — 413 citations