| A blind source separation technique using second-order statistics A Belouchrani, K Abed-Meraim, JF Cardoso, E Moulines IEEE Transactions on signal processing 45 (2), 434-444, 1997 | 3778 | 1997 |
| Subspace methods for the blind identification of multichannel FIR filters E Moulines, P Duhamel, JF Cardoso, S Mayrargue IEEE Transactions on signal processing 43 (2), 516-525, 1995 | 2224 | 1995 |
| Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones E Moulines, F Charpentier Speech communication 9 (5-6), 453-467, 1990 | 2087 | 1990 |
| An overview of existing methods and recent advances in sequential Monte Carlo O Cappé, SJ Godsill, E Moulines Proceedings of the IEEE 95 (5), 899-924, 2007 | 1396 | 2007 |
| Continuous probabilistic transform for voice conversion Y Stylianou, O Cappé, E Moulines IEEE Transactions on speech and audio processing 6 (2), 131-142, 1998 | 1396 | 1998 |
| Convergence of a stochastic approximation version of the EM algorithm B Delyon, M Lavielle, E Moulines Annals of statistics, 94-128, 1999 | 1084 | 1999 |
| Non-asymptotic analysis of stochastic approximation algorithms for machine learning E Moulines, F Bach Advances in neural information processing systems 24, 2011 | 968 | 2011 |
| On upper-confidence bound policies for switching bandit problems A Garivier, E Moulines International conference on algorithmic learning theory, 174-188, 2011 | 641 | 2011 |
| On-line expectation–maximization algorithm for latent data models O Cappé, E Moulines Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 620 | 2009 |
| Voice transformation using PSOLA technique H Valbret, E Moulines, JP Tubach Speech communication 11 (2-3), 175-187, 1992 | 548 | 1992 |
| Nonasymptotic convergence analysis for the unadjusted Langevin algorithm A Durmus, E Moulines | 500 | 2017 |
| Non-parametric techniques for pitch-scale and time-scale modification of speech E Moulines, J Laroche Speech communication 16 (2), 175-205, 1995 | 487 | 1995 |
| Non-strongly-convex smooth stochastic approximation with convergence rate O (1/n) F Bach, E Moulines Advances in neural information processing systems 26, 2013 | 482 | 2013 |
| Least‐squares estimation of an unknown number of shifts in a time series M Lavielle, E Moulines Journal of time series analysis 21 (1), 33-59, 2000 | 398 | 2000 |
| High-dimensional Bayesian inference via the unadjusted Langevin algorithm A Durmus, E Moulines | 382 | 2019 |
| On the ergodicity properties of some adaptive MCMC algorithms C Andrieu, É Moulines | 382 | 2006 |
| A subspace algorithm for certain blind identification problems K Abed-Meraim, P Loubaton, E Moulines IEEE transactions on information theory 43 (2), 499-511, 1997 | 379 | 1997 |
| Markov chains: Basic definitions R Douc, E Moulines, P Priouret, P Soulier, R Douc, E Moulines, P Priouret, ... Markov Chains, 3-25, 2018 | 368 | 2018 |
| Prediction error method for second-order blind identification K Abed-Meraim, E Moulines, P Loubaton IEEE Transactions on Signal Processing 45 (3), 694-705, 1997 | 358 | 1997 |
| Nonlinear time series: Theory, methods and applications with R examples R Douc, E Moulines, D Stoffer CRC press, 2014 | 338 | 2014 |
Olivier CappéCNRSVerified email at cnrs.fr
