Éric Moulines

Eric Moulines in April 2019

Éric Moulines (born in Bordeaux on 24 January 1963) is a French researcher in statistical learning and signal processing. He received the silver medal from the CNRS in 2010,[1] and was appointed a Fellow of the European Association for Signal Processing in 2012[2] and of the Institute of Mathematical Statistics in 2016,[3] and was elected a member of the French Academy of Sciences in 2017.[4] He is General Engineer of the Corps des Mines (X81).[5]

Biography

Éric Moulines entered the École polytechnique in 1981, then went to study at Télécom ParisTech.

He began his career at the Centre national d'études des télécommunications where he worked on speech synthesis from text. He is involved in the development of new waveform synthesis methods called PSOLA (pitch synchronous overlap and add).[6]

After defending his thesis in 1990,[7] he joined the École Nationale Supérieure des Télécommunications (now Télécom ParisTech).[1] He then became interested in different problems of statistical signal processing. In particular, it contributes to the development of subspaces methods for the identification of multivariate linear systems[8] and source separation[9] and develops new algorithms for adaptive system estimation.

He became a full professor at Télécom ParisTech in 1996.[1] He received his Habilitation à diriger des recherches (authorisation to direct research) in 2006.[10] He then devoted himself mainly to the application of Bayesian methods with applications in signal processing and statistics. In 2025 he joined the faculty of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi.[11]

Scientific work

He is interested in the inference of latent variable models[12] and in particular hidden Markov chains,[13][14] and non-linear state models (non-linear filtering)[15][16] In particular, it contributes to filtering methods using interacting particle systems.[15][16] He was more generally interested in the inference of partially observed Markovian models, coupling estimation and simulation problems with Monte Carlo Markov Chain Methods (MCMC). He has also developed numerous theoretical tools for the convergence analysis of MCMC algorithms, obtaining fundamental results on the long time behaviour of Markov chains.[17][18][19]

Since 2005, he has been working on statistical learning problems, including the analysis of stochastic optimization algorithms.[20][21]

He joined the Centre de mathématiques appliquées de l'École polytechnique[22] as a professor in 2015. He is interested in Bayesian inference from large scale models, with applications in uncertainty quantification in statistical learning.

Since 2022, Moulines has led the OCEAN (On IntelligenCE And Networks) project, a six-year ERC Synergy Grant on federated learning and decentralised artificial intelligence, jointly with Michael I. Jordan (UC Berkeley), Christian P. Robert (Université Paris Dauphine-PSL) and Gareth Roberts (University of Warwick).[23]

Honours and awards

References

  1. 1 2 3 4 "Éric Moulines". CNRS Informatics (INS2I). Centre national de la recherche scientifique. Retrieved 21 April 2026.
  2. 1 2 "EURASIP Fellows". EURASIP. Retrieved 21 April 2026.
  3. 1 2 "IMS Fellows 2016". Institute of Mathematical Statistics. 1 July 2016. Retrieved 21 April 2026.
  4. 1 2 "Eric Moulines". Académie des sciences. Retrieved 21 April 2026.
  5. ↑ "Bio MOULINES, Éric". Les Annales des Mines (in French). Retrieved 21 April 2026.
  6. ↑ Eric Moulines, Francis Charpentier, « Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones », Speech Communication, 1990, pp. 453–467
  7. ↑ "Algorithmes de codage et de modifications des paramètres prosodiques pour la synthèse de parole à partir du texte". Catalogue général (in French). Bibliothèque nationale de France. Retrieved 21 April 2026.
  8. ↑ E Moulines, P Duhamel, JF Cardoso, S Mayrargue, « Subspace methods for the blind identification of multichannel FIR filters », IEEE Transactions on signal processing,, 1995, pp. 516–525
  9. ↑ Belouchrani, Adel and Abed-Meraim, Karim and Cardoso, J-F and Moulines, Eric, « A blind source separation technique using second-order statistics », IEEE Transactions on signal processing, 1997, pp. 434–444
  10. ↑ "Fiche de MOULINES Eric". myEDB (in French). EDITE de Paris. Retrieved 21 April 2026.
  11. ↑ Leprince-Ringuet, Daphné (14 February 2025). "How the 'Stanford of the Middle East' is attracting top European researchers". Sifted. Retrieved 21 April 2026.
  12. ↑ O Cappé, E Moulines, « On‐line expectation–maximization algorithm for latent data models », Journal of the Royal Statistical Society, Series B (Statistical Methodology), 2009, pp. 593–613
  13. ↑ R Douc, E Moulines, T Rydén, « Asymptotic properties of the maximum likelihood estimator in autoregressive models with Markov regime », The Annals of statistics, 2004, pp. 2254–2304
  14. ↑ O. Cappé, E. Moulines, T. Ryden, « Inference in Hidden Markov Models », Springer Series in Statistics, 2006
  15. 1 2 R Douc, A Garivier, E Moulines, J Olsson, « Sequential Monte Carlo smoothing for general state space hidden Markov models », The Annals of Applied Probability, 2011, pp. 2109–2145
  16. 1 2 R Douc, E Moulines, D Stoffer, « Nonlinear time series: Theory, methods and applications with R examples », Chapman and Hall/CRC, 2014
  17. ↑ C Andrieu, É Moulines, « On the ergodicity properties of some adaptive MCMC algorithms », The Annals of Applied Probability, 2006, pp. 1462–1505
  18. ↑ R Douc, E Moulines, P Priouret, P Soulier, « Markov Chains », Springer, 2018
  19. ↑ A Durmus, E Moulines, « Nonasymptotic convergence analysis for the unadjusted Langevin algorithm », The Annals of Applied Probability, 2017, pp. 1551–1587
  20. ↑ A Garivier, E Moulines, « On upper-confidence bound policies for switching bandit problems », International Conference on Algorithmic Learning, 2011, pp. 174–188
  21. ↑ E Moulines, FR Bach, « Non-asymptotic analysis of stochastic approximation algorithms for machine learning », Advances in Neural Information Processing Systems, 2011, pp. 451–459
  22. ↑ Nouvelle, L'Usine (7 February 2018). "Le statisticien historique : Éric Moulines, professeur à l'École polytechnique". usinenouvelle.com.
  23. 1 2 "ERC Synergy Grants 2022 List of proposals selected for funding" (PDF). European Research Council. Retrieved 21 April 2026.
  24. ↑ "Décret du 24 novembre 2021 portant promotion et nomination dans l'ordre national du Mérite". Légifrance (in French). République française. Retrieved 21 April 2026.
  25. ↑ "Society Awards". Retrieved 21 April 2026.
  26. ↑ "IEEE Signal Processing Society Signal Processing Magazine Best Paper Award" (PDF). IEEE Signal Processing Society. Retrieved 21 April 2026.
  27. ↑ "IEEE Signal Processing Society Best Paper Award" (PDF). IEEE Signal Processing Society. Retrieved 21 April 2026.
This page is issued from Wikipedia. The text is available under Creative Commons Attribution-Share Alike 4.0 unless otherwise noted. Additional terms may apply for the media files.