Carsten Marr

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Statistics and Probability — 8 citations into it

Whom Carsten Marr trusts overall

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

1. Nial Friel
2. Radford M. Neal
3. John Skilling

Papers from Carsten Marr's perspective

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

1. Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
2. Annealed importance sampling
3. Computing Bayes factors using thermodynamic integration. (Systematic Biology)
4. Marginal likelihood estimation via power posteriors
5. Nested sampling for general Bayesian computation
6. Estimating the evidence – a review
7. An adaptive Metropolis algorithm
8. Globally optimal stitching of tiled 3D microscopic image acquisitions (Bioinform.)
9. Enhancing Sparsity by Reweighted ℓ1 Minimization
10. BAYESIAN MODEL ASSESSMENT IN FACTOR ANALYSIS

Their papers

• An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson’s rule (2015) — 20 citations
• destiny: diffusion maps for large-scale single-cell data in R (2015) — 621 citations
• Prospective identification of hematopoietic lineage choice by deep learning (2017) — 180 citations
• A BaSiC tool for background and shading correction of optical microscopy images (2017) — 346 citations