Robert Salzmann

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it

Whom Robert Salzmann trusts

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

1. Yazhen Wang (in Artificial Intelligence)
2. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from Robert Salzmann's perspective

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

1. Quantum Computation and Quantum Information
2. and s
3. Pattern Recognition and Machine Learning
4. Quantum Principal Component Analysis
5. Towards the fast scrambling conjecture (Journal of High Energy Physics)
6. The algebraic eigenvalue problem
7. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
8. Exponential convergence of Langevin distributions and their discrete approximations
9. Modelling Heterogeneity With and Without the Dirichlet Process
10. Learning and relearning in Boltzmann machines

Their papers

• Training deep quantum neural networks (2019) — 740 citations