Phiala E. Shanahan

2019–2020

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Who trusts Phiala E. Shanahan

1. Frank No'e (in Probabilistic & Bayesian Methods)
2. Jonas Köhler (in Probabilistic & Bayesian Methods)
3. Hao Wu (in Statistics and Probability)

Papers from Phiala E. Shanahan's perspective

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

1. I and J
2. and s
3. Lattice methods for quantum chromodynamics
4. The minimal exponent and k-rationality for local complete intersections (Journal de l'École polytechnique. Mathématiques)
5. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
6. Hybrid Monte Carlo
7. Information Theory, Inference, and Learning Algorithms
8. Analytic smearing of SU(3) link variables in lattice QCD
9. Deep Learning
10. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Their papers

• Equivariant flow-based sampling for lattice gauge theory (2020) — 219 citations
• Flow-based generative models for Markov chain Monte Carlo in lattice field theory (2019) — 281 citations