Mathieu Gerber

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #24,583 of 35,345 by trust here, #30,347 by citations
• Statistics and Probability — 19 citations into it; #9,058 of 12,932 by trust here, #9,714 by citations
• Probabilistic & Bayesian Methods — 17 citations into it; #1,216 of 1,525 by trust here, #1,365 by citations

Whom Mathieu Gerber trusts overall

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

1. Nicolas Chopin
2. Christophe Andrieu
3. Qi-Man Shao
4. Arnaud Doucet
5. Paul Fearnhead
6. Neil J. Gordon
7. Jun S. Liu
8. Devdatt P. Dubhashi
9. Carlos M. Carvalho
10. Michael K. Pitt

Who trusts Mathieu Gerber overall

1. Simon Lacoste-Julien
2. Fredrik Lindsten
3. Chris J. Oates
4. Francis R. Bach
5. Motonobu Kanagawa

Papers from Mathieu Gerber's perspective

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

1. Improved particle filter for nonlinear problems
2. Sequential Monte Carlo methods for dynamic systems
3. Annealed importance sampling
4. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
5. Particle Markov chain Monte Carlo methods
6. Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
7. Comparison of resampling schemes for particle filtering
8. On sequential Monte Carlo sampling methods for Bayesian filtering
9. Following a moving target—Monte Carlo inference for dynamic Bayesian models
10. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination

Their papers

• Sequential quasi Monte Carlo (2015) — 82 citations
• Negative association, ordering and convergence of resampling methods (2017) — 78 citations