Kerstin Beer

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 Kerstin Beer trusts overall

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

1. Radford M. Neal
2. Yazhen Wang
3. Anmer Daskin

Who trusts Kerstin Beer overall

1. Eric R. Anschuetz
2. Marcello Benedetti
3. M. Cerezo
4. Bobak Toussi Kiani

Papers from Kerstin Beer's perspective

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

1. Quantum Computation and Quantum Information
2. Pattern Recognition and Machine Learning
3. and s
4. Quantum Principal Component Analysis
5. Towards the fast scrambling conjecture (Journal of High Energy Physics)
6. Learning and relearning in Boltzmann machines
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
9. Annealed importance sampling
10. The algebraic eigenvalue problem

Their papers

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