
Youssef Marzouk
Massachusetts Institute of Technology
Professor
Department of Aeronautics and Astronautics
Institute for Data, Systems, and Society
Center for Computational Science and Engineering
Research Area
#Mathematics#Bayesian inference#Computer science#Applied mathematics#Algorithm#Mathematical optimization#Markov chain Monte Carlo#Inverse problem#Inference#Bayesian probability
SCIE paper information
Papers relevant to ‘Mathematics’: 26
Research performance of SCIE papers matching with ‘Mathematics’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Dimension-independent likelihood-informed MCMC
2016/01 JOURNAL OF COMPUTATIONAL PHYSICS 2.744 Impact Factor 128 citations
Likelihood-informed dimension reduction for nonlinear inverse problems
2014/10 INVERSE PROBLEMS 1.323 Impact Factor 117 citations
Papers for author ‘Youssef Marzouk’: 44
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Dimension-independent likelihood-informed MCMC
2016/01 JOURNAL OF COMPUTATIONAL PHYSICS 2.744 Impact Factor 128 citations
Likelihood-informed dimension reduction for nonlinear inverse problems
2014/10 INVERSE PROBLEMS 1.323 Impact Factor 117 citations
conference information
Papers relevant to ‘Mathematics’: 1
Research performance of Top-tier Conference matching with ‘Mathematics’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
A Stein variational Newton method
2018/01 NEURIPS Top-tier Conference 65 citations
Papers for author ‘Youssef Marzouk’: 3
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
A Stein variational Newton method
2018/01 NEURIPS Top-tier Conference 65 citations
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
2017/01 NEURIPS Top-tier Conference 7 citations
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