Question 1

What does Éric Moulines research?

Accepted Answer

Éric Moulines publishes mostly in Artificial Intelligence, Statistics and Probability and Signal Processing, on topics such as Markov Chains and Monte Carlo Methods, Statistical Methods and Inference and Bayesian Methods and Mixture Models.

Question 2

Which keywords describe Éric Moulines's research?

Accepted Answer

The keywords of their largest research topics: Model Selection, Approximation Algorithms, Bayesian Inference, Deep Learning, Bayesian Monte Carlo, Markov Chain, Variational Inference and Neural Networks.

Question 3

Where does Éric Moulines work?

Accepted Answer

Éric Moulines's main affiliation in the publication record is École Polytechnique, France.

Question 4

How many publications and citations does Éric Moulines have?

Accepted Answer

OpenAlex counts 584 works and 23,461 citations for Éric Moulines, an h-index of 61, ranking #395,417 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Éric Moulines's h-index high?

Accepted Answer

An h-index of 61 is at or above that of 99.5% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 0.5%.