Rémi Bardenet

17 papers and 330 indexed citations i.

Rémi Bardenet has authored 17 papers that have received a total of 330 indexed citations. This includes 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 7 papers in Applied Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and Point processes and geometric inequalities (4 papers). Rémi Bardenet is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and Point processes and geometric inequalities (4 papers) and collaborates with scholars based in France, United Kingdom and United States. Rémi Bardenet's co-authors include David J. Gavaghan, Gary R. Mirams, Kylie A. Beattie, Pierre Chainais and Jamie I. Vandenberg and has published in prestigious journals such as The Journal of Physiology, IEEE Transactions on Signal Processing and Journal of Molecular and Cellular Cardiology