Michael Schwarzfischer

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 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 — 7 citations into it

Whom Michael Schwarzfischer trusts overall

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

1. Nial Friel
2. Radford M. Neal
3. John Skilling
4. Andrew Gelman
5. Ben Calderhead
6. Nicolas Lartillot
7. Hedibert Freitas Lopes
8. Heikki Haario
9. Jason Wyse

Who trusts Michael Schwarzfischer overall

1. Chris J. Oates

Papers from Michael Schwarzfischer's perspective

Ordered by how strongly the researchers Michael Schwarzfischer 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. Vlfeat: an open and portable library of computer vision algorithms
9. BAYESIAN MODEL ASSESSMENT IN FACTOR ANALYSIS
10. Estimating Bayes factors via thermodynamic integration and population MCMC

Their papers

• An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson’s rule (2015) — 20 citations
• Prospective identification of hematopoietic lineage choice by deep learning (2017) — 180 citations