Annuaire des chercheurs et enseignants-chercheurs de Centrale Lille
Pierre Chainais a reçu son doctorat de physique à l'Ecole Normale Supérieure de Lyon, France, en 2001. En 2002, il a rejoint l'Université Blaise Pascal de Clermont-Ferrand en tant que Maître de Conférences en traitement du signal. En 2011, il a rejoint Centrale Lille Institut où il est actuellement Professeur des Universités. Il mène ses recherches au sein de l’équipe SigMA du laboratoire CRIStAL. Ses centres d'intérêts en recherche couvrent le traitement statistique du signal et l'apprentissage statistique, et leurs applications en physique, plus particulièrement en astronomie et astrophysique. Pendant plusieurs années (2002-2011), Pierre Chainais a consacré ses recherches aux processus stochastiques invariants d’échelle et à la modélisation statistique des images naturelles. Il s’est par la suite intéressé aux méthodes bayésiennes non paramétriques, aux processus ponctuels répulsifs, notamment déterminantaux, ainsi qu’aux signaux bivariés. Depuis 2011, il s’intéresse particulièrement à la quantification d’incertitudes dans la résolution des problèmes inverses. Il s’appuie pour cela sur les approches bayésiennes et sur les méthodes d’échantillonnage de Monte Carlo à chaînes de Markov, en lien avec les apports de l’apprentissage machine.
statistical signal processing ; inverse problems ; Bayesian approaches ; MCMC methods ; bivariate signals ; multiresolution analysis ; determinantal point processes (DPP) ; astronomy and astrophysics
mcsm-benchs: Benchmarking methods for multi-component signal processing
Journal of Open Source Software, 2025, 10, ⟨10.21105/joss.08175⟩
Juan M Miramont,Rémi Bardenet,Pierre Chainais,François Auger
Un modèle bayésien exact pour les problèmes inverses non-linéaires en présence de bruits divers
GRETSI 2025-XXXème Colloque Francophone de Traitement du Signal et des Images, Association GRETSI, Aug 2025, Strasbourg, France
Nicolas Goeman,Pierre-Antoine Thouvenin,Pierre Chainais
Estimating the dense gas mass of molecular clouds using spatially unresolved 3mm line observations
Astronomy & Astrophysics - A&A, 2025, 703, pp.A176. ⟨10.1051/0004-6361/202555123⟩
Antoine Zakardjian,Annie Hughes,Jérôme Pety,Maryvonne Gerin,Pierre Palud,Ivana Bešlić,Simon Coudé,Lucas Einig,Helena Mazurek,Jan H Orkisz,Miriam G Santa-Maria,Léontine Ségal,Sophia K Stuber,Sébastien Bardeau,Emeric Bron,Pierre Chainais,Karine Demyk,Victor de Souza Magalhaes,Javier R Goicoechea,Pierre Gratier,Viviana V Guzman,David Languignon,François Levrier,Franck Le Petit,Dariusz C Lis,Harvey S Liszt,Nicolas Peretto,Antoine Roueff,Evelyne Roueff,Albrecht Sievers,Pierre-Antoine Thouvenin
Optimal estimation of the canonical polyadic decomposition from low-rank tensor trains
Signal Processing, 2025, 234, pp.110001. ⟨10.1016/j.sigpro.2025.110001⟩
Clémence Prévost,Pierre Chainais
An ADMM algorithm to restore bivariate signals with joint time and covariance regularization
XXXe Colloque Francophone de Traitement du Signal et des Images, GRETSI 2025, Aug 2025, Strasbourg, France
Yusuf Yigit Pilavci,Julien Flamant,Pierre-Antoine Thouvenin,Jérémie Boulanger,Pierre Chainais
Un échantillonneur Plug and Play distribué pour la résolution de problèmes inverses de très grande dimension
Colloque Gretsi 2025, Aug 2025, Strasbourg, France
Maxime Bouton,Pierre-Antoine Thouvenin,Audrey Repetti,Pierre Chainais
Time and covariance smoothing for restoration of bivariate signals
IEEE Statistical Signal Processing Workshop, SSP 2025, Jun 2025, Edimbourg, United Kingdom
Yusuf Yigit Pilavci,Pierre Palud,Julien Flamant,Pierre-Antoine Thouvenin,Jérémie Boulanger,Pierre Chainais
The first estimation of the ionization fraction in dense and translucent molecular gas across Orion B
Astronomy & Astrophysics - A&A, 2025, 702, pp.A205. ⟨10.1051/0004-6361/202553706⟩
Ivana Bešlić,Maryvonne Gerin,Viviana V. Guzmán,Emeric E. Bron,Evelyne Roueff,Javier Goicoechea,Jérôme Pety,Franck Le Petit,Simon Coudé,Lucas Einig,Helena Mazurek,Jan H. Orkisz,Pierre Palud,Miriam Santa-Maria,Léontine Ségal,Antoine Zakardjian,Sébastien Bardeau,Pierre Chainais,Karine Demyk,Victor de Souza Magalhaes,Pierre Gratier,Annie Hughes,David Languignon,François Levrier,Jacques Le Bourlot,Dariusz C Lis,Harvey Liszt,Nicolas Peretto,Antoine Roueff,Albrecht Sievers,Pierre-Antoine Thouvenin
Adaptive hyperparameter tuning for time-frequency algorithms based on the zeros of the spectrogram
23rd IEEE Statistical Signal Processing Workshop, IEEE, Jun 2025, Edimbourg, United Kingdom. ⟨10.1109/SSP64130.2025.11073382⟩
Juan Manuel Miramont,Rémi Bardenet,Pierre Chainais,François Auger
A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
2025
Maxime Bouton,Pierre-Antoine Thouvenin,Audrey Repetti,Pierre Chainais
Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems
23rd IEEE Statistical Signal Processing Workshop (IEEE SSP 2025), Jun 2025, Edimbourg, United Kingdom. pp.66--70, ⟨10.1109/SSP64130.2025.11073314⟩
Maxime Bouton,Pierre-Antoine Thouvenin,Audrey Repetti,Pierre Chainais
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems
Computers & Chemical Engineering, 2024, 189, pp.108779. ⟨10.1016/j.compchemeng.2024.108779⟩
Markus Grimm,Sébastien Paul,Pierre Chainais
Normalizing flow sampling with Langevin dynamics in the latent space
Machine Learning, 2024, pp. 1-26. ⟨10.1007/s10994-024-06623-x⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds
Astronomy & Astrophysics - A&A, 2024, 691 (November), pp.A109. ⟨10.1051/0004-6361/202451588⟩
Lucas Einig,Pierre Palud,Antoine Roueff,Jérôme Pety,Emeric E. Bron,Franck Le Petit,Maryvonne Gerin,Jocelyn Chanussot,Pierre Chainais,Pierre-Antoine Thouvenin,David Languignon,Ivana Bešlić,Simon Coudé,Helena Mazurek,Jan Orkisz,Miriam G. Santa-Maria,Léontine Ségal,Antoine Zakardjian,Sébastien Bardeau,Karine Demyk,Victor de Souza Magalhaes,Javier R. Goicoechea,Pierre Gratier,Viviana Guzman Veloso,Annie Hughes,François Levrier,Jacques Le Bourlot,Dariusz C Lis,Harvey Liszt,Nicolas Peretto,Evelyne Roueff,Albrecht Sievers
Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference
IEEE Transactions on Image Processing, 2024, 33, pp.3496-3507. ⟨10.1109/TIP.2024.3404338⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS)
2024
Pierre Palud,Pierre-Antoine Thouvenin,Pierre Chainais,Emeric E. Bron,Franck Le Petit
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Journal of Computational and Graphical Statistics, 2023, 33 (3), pp.814-832. ⟨10.1080/10618600.2023.2282501⟩
Pierre-Antoine Thouvenin,Audrey Repetti,Pierre Chainais
Quaternions in signal and image processing: A comprehensive and objective overview
IEEE Signal Processing Magazine, 2023, 40 (6), pp.26-40. ⟨10.1109/MSP.2023.3278071⟩
Sebastian Miron,Julien Flamant,Nicolas Le Bihan,Pierre Chainais,David Brie
HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS
2023
Clémence Prévost,Pierre Chainais
Réduction d’un modèle astrophysique par réseaux de neurones
GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France
Lucas Einig,Pierre Palud,Jocelyn Chanussot,Jérôme Pety,Emeric E. Bron,Pierre Chainais,Franck Le Petit,Pierre-Antoine Thouvenin,Maryvonne Gerin,Antoine Roueff,Ivana Bešlić,Miriam G. Santa-Maria,Jan H. Orkisz,Antoine Zakardjian,Sébastien Bardeau,Javier R. Goicoechea,Pierre Gratier,Viviana V. Guzman,Annie Hughes,François Levrier,Karin D. Öberg,Nicolas Peretto,Evelyne Roueff,Albrecht Sievers
HCN emission from translucent gas and UV-illuminated cloud edges revealed by wide-field IRAM 30 m maps of the Orion B GMC
Astronomy & Astrophysics - A&A, 2023, 679, pp.A4. ⟨10.1051/0004-6361/202346598⟩
M G Santa-Maria,J R Goicoechea,J Pety,M Gerin,J H Orkisz,F Le Petit,L Einig,P Palud,V de Souza Magalhaes,I Bešlić,L Segal,S Bardeau,E Bron,P Chainais,J Chanussot,P Gratier,V V Guzmán,A Hughes,D Languignon,F Levrier,D C Lis,H S Liszt,J Le Bourlot,Y Oya,K Öberg,N Peretto,E Roueff,A Roueff,A Sievers,P-A Thouvenin,S Yamamoto
Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises
IEEE Transactions on Signal Processing, 2023, 71, pp.2491-2501. ⟨10.1109/TSP.2023.3289728⟩
Pierre Palud,Pierre-Antoine Thouvenin,Pierre Chainais,Emeric Bron,Franck Le Petit
Méthode MCMC plug-and-play avec a priori génératif profond
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.173--176
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
Deep learning denoising by dimension reduction: Application to the ORION-B line cubes
Astronomy & Astrophysics - A&A, 2023, 677, pp.A158. ⟨10.1051/0004-6361/202346064⟩
Lucas Einig,Jérôme Pety,Antoine Roueff,Paul Vandame,Jocelyn Chanussot,Maryvonne Gerin,Jan H. Orkisz,Pierre Palud,Miriam G. Santa-Maria,Victor de Souza Magalhaes,Ivana Bešlić,Sébastien Bardeau,Emeric E. Bron,Pierre Chainais,Javier R Goicoechea,Pierre Gratier,Viviana Guzman Veloso,Annie Hughes,Jouni Kainulainen,David Languignon,Rosine Lallement,François Levrier,Dariuscz C. Lis,Harvey Liszt,Jacques Le Bourlot,Franck Le Petit,Karin Danielsson Öberg,Nicolas Peretto,Evelyne Roueff,Albrecht Sievers,Pierre-Antoine Thouvenin,Pascal Tremblin
Problèmes inverses et test bayésien d'adéquation du modèle
29° Colloque sur le traitement du signal et des images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.697 - 700
Pierre Palud,Pierre-Antoine Thouvenin,Pierre Chainais,Emeric E. Bron,Franck Le Petit
dsgs: a Distributed block-Split-Gibbs Sampler (DSGS) with hypergraph structure for high-dimensional inverse problems
Pierre-Antoine Thouvenin,Audrey Repetti,Pierre Chainais
A public benchmark for denoising and detection methods
XXVIIIème Colloque Francophone du GRETSI, GRETSI, Sep 2022, Nancy, France. pp.1-4
Juan Miramont,Rémi Bardenet,Pierre Chainais,François Auger
Learning optimal transport between two empirical distributions with normalizing flows
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep 2022, Grenoble, France. ⟨10.48550/arXiv.2207.01246⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
SIAM Review, 2022, 64 (1), pp.3-56. ⟨10.1137/20M1371026⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Un algorithme MCMC distribué pour la résolution de problèmes inverses de grande dimension
XXIXième Colloque GRETSI, Sep 2022, Nancy, France
Pierre-Antoine Thouvenin,Audrey Repetti,Pierre Chainais
High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
SIAM Review, 2022, 64 (1), pp.3-56. ⟨10.1137/20M1371026⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Mixture of noises and sampling non log-concave distributions
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France.
Pierre Palud,Franck Le Petit,Pierre Chainais,Emeric Bron,Pierre-Antoine Thouvenin
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. ⟨10.48550/arXiv.2207.05468⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
FAST FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGES : A TUCKER APPROXIMATION APPROACH
2022
Clémence Prévost,Pierre Chainais,Remy Boyer
Mixture of noises and sampling of non-log-concave posterior distributions
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia
Pierre Palud,Pierre Chainais,Franck Le Petit,Emeric Bron,Maxime Vono,Lucas Einig,Miriam Garcia Santa-Maria,Mathilde Gaudel,Jan Orkisz,Victor de Souza Magalhaes,Sébastien Bardeau,Maryvonne Gerin,Javier R Goicoechea,Pierre Gratier,Viviana V. Guzman,Jouni Kainulainen,François Levrier,Nicolas Peretto,Jérôme Pety,Antoine Roueff,Albrecht Sievers
Estimation of physical conditions in PDRs Bayesian approach with spatial regularization
Multi-line Diagnostics of the Interstellar Medium, Apr 2022, Nice, France.
Pierre Palud,Franck Le Petit,Pierre Chainais,Emeric E. Bron,Pierre-Antoine Thouvenin
Mélange de bruits et échantillonnage de posterior non log-concave
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Association GRETSI : Groupe de Recherche et d'Etudes de Traitement du Signal et des Images, Sep 2022, Nancy, France
Pierre Palud,Pierre Chainais,Franck Le Petit,Emeric Bron,Pierre-Antoine Thouvenin,Maxime Vono,Lucas Einig,Miriam Garcia Santa-Maria,Mathilde Gaudel,Jan Orkisz,Victor de Souza Magalhaes,Sébastien Bardeau,Maryvonne Gerin,Javier R Goicoechea,Pierre Gratier,Viviana V. Guzman,Jouni Kainulainen,François Levrier,Nicolas Peretto,Jérôme Pety,Antoine Roueff,Albrecht Sievers
Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids
Astronomy & Astrophysics - A&A, 2021, 645, pp.A28. ⟨10.1051/0004-6361/202038040⟩
Emeric E. Bron,Evelyne Roueff,Maryvonne Gerin,Jérôme Pety,Pierre Gratier,Franck Le Petit,Viviana Guzman,Jan H. Orkisz,Victor de Souza Magalhaes,Mathilde Gaudel,Maxime Vono,Sébastien Bardeau,Pierre Chainais,Javier R. Goicoechea,Annie Hughes,Jouni Kainulainen,David Languignon,Jacques Le Bourlot,François Levrier,Harvey Liszt,Karin Öberg,Nicolas Peretto,Antoine Roueff,Albrecht Sievers
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
Journal of Computational and Graphical Statistics, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
A determinantal point process for column subset selection
Journal of Machine Learning Research, 2020, 21 (197), pp.1-62
Ayoub Belhadji,R. Bardenet,Pierre Chainais
On the zeros of the spectrogram of white noise
Applied and Computational Harmonic Analysis, 2020, 48 (2), pp.682-705. ⟨10.1016/j.acha.2018.09.002⟩
Rémi Bardenet,Julien Flamant,Pierre Chainais
Kernel interpolation with continuous volume sampling
ICML 2020 - International Conference on Machine Learning, 2020, Vienna, Austria
Ayoub Belhadji,R. Bardenet,Pierre Chainais
Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), May 2019, Brighton, United Kingdom. pp.5037-5041, ⟨10.1109/ICASSP.2019.8682982⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
A correspondence between zeros of time-frequency transforms and Gaussian analytic functions
13th International Conference on Sampling Theory and Applications, SampTA 2019, Aug 2019, Bordeaux, France
Rémi Bardenet,Pierre Chainais,Julien Flamant,Adrien Hardy
Split-and-augmented Gibbs sampler - Application to large-scale inference problems
IEEE Transactions on Signal Processing, 2019, 67 (6), pp.1648-1661. ⟨10.1109/TSP.2019.2894825⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data
WHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Sep 2019, Amsterdam, Netherlands. pp.1-5, ⟨10.1109/WHISPERS.2019.8920859⟩
Maxime Vono,Javier R. Goicoechea,Pierre Gratier,Viviana Guzman,Annie Hughes,Jouni Kainulainen,David Languignon,Jacques Le Bourlot,François Levrier,Harvey Listz,Karin I Öberg,Emeric Bron,Jan Orkisz,Nicolas Peretto,Jerome Pety,Antoine Roueff,Evelyne Roueff,Albrecht Sievers,Victor de Souza Magalhaes,Pascal Tremblin,Pierre Chainais,Franck Le Petit,Sébastien Bardeau,Sébastien Bourguignon,Jocelyn Chanussot,Mathilde Gaudel,Maryvonne Gerin
Time-frequency analysis of bivariate signals
Applied and Computational Harmonic Analysis, 2019, 46 (2), pp.351-383. ⟨10.1016/j.acha.2017.05.007⟩
Julien Flamant,Nicolas Le Bihan,Pierre Chainais
Un processus ponctuel déterminantal pour la sélection d'attributs
GRETSI 2019, Aug 2019, Lille, France
Ayoub Belhadji,Rémi Bardenet,Pierre Chainais
Kernel quadrature with DPPs
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Ayoub Belhadji,R. Bardenet,Pierre Chainais
Bayesian Image Restoration under Poisson Noise and Log-concave Prior
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.1712-1716, ⟨10.1109/ICASSP.2019.8683031⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Reconstruction et caractérisation des polarisations d'une onde gravitationnelle
GRETSI 2019 - XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France
Fangchen Feng,Julien Flamant,Pierre Chainais,Eric Chassande-Mottin,Nicolas Le Bihan
Small variance asymptotics and bayesian nonparametrics for dictionary learning
EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1607-1611, ⟨10.23919/EUSIPCO.2018.8553142⟩
Clément Elvira,Hong-Phuong Dang,Pierre Chainais
Towards Dictionaries of Optimal Size: A Bayesian Non Parametric Approach
Journal of Signal Processing Systems, 2018, 90 (2), pp.221-232. ⟨10.1007/s11265-016-1154-1⟩
Hong Phuong Dang,Pierre Chainais
Linear Filtering of Bivariate Signals Using Quaternions
SSP 2018 - 2018 IEEE Workshop on Statistical Signal Processing, Jun 2018, Fribourg en Brisgau, Germany. pp.154-158, ⟨10.1109/SSP.2018.8450687⟩
Julien Flamant,Pierre Chainais,Nicolas Le Bihan
Non-parametric characterization of gravitational-wave polarizations
EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.2658-2662, ⟨10.23919/EUSIPCO.2018.8552942⟩
Julien Flamant,Pierre Chainais,Eric Chassande-Mottin,Fangchen Feng,Nicolas Le Bihan
De la transformée de Fourier à l'analyse temps-fréquence bivariée
Bulletin de l’Union des Professeurs de classes préparatoires Scientifiques, 2018, pp.1-19
Pierre Chainais
A Complete Framework for Linear Filtering of Bivariate Signals
IEEE Transactions on Signal Processing, 2018, 66 (17), pp.4541-4552. ⟨10.1109/TSP.2018.2855659⟩
Julien Flamant,Pierre Chainais,Nicolas Le Bihan
Bayesian Nonparametric Subspace Estimation
ICASSP 2017 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States. ⟨10.1109/ICASSP.2017.7952556⟩
Clément Elvira,Nicolas Dobigeon,Pierre Chainais
Spectral analysis of stationary random bivariate signals
IEEE Transactions on Signal Processing, 2017, 65 (23), pp.6135-6145. ⟨10.1109/TSP.2017.2736494⟩
Julien Flamant,Nicolas Le Bihan,Pierre Chainais
Indian Buffet Process Dictionary Learning : algorithms and applications to image processing
International Journal of Approximate Reasoning, 2017
Hong-Phuong Dang,Pierre Chainais
Learning optimal transport between two empirical distributions with normalizing flows
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep 2022, Grenoble, France. ⟨10.48550/arXiv.2207.01246⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
Mixture of noises and sampling non log-concave distributions
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France.
Pierre Palud,Franck Le Petit,Pierre Chainais,Emeric Bron,Pierre-Antoine Thouvenin
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. ⟨10.48550/arXiv.2207.05468⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
FAST FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGES : A TUCKER APPROXIMATION APPROACH
2022
Clémence Prévost,Pierre Chainais,Remy Boyer
Mixture of noises and sampling of non-log-concave posterior distributions
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia
Pierre Palud,Pierre Chainais,Franck Le Petit,Emeric Bron,Maxime Vono,Lucas Einig,Miriam Garcia Santa-Maria,Mathilde Gaudel,Jan Orkisz,Victor de Souza Magalhaes,Sébastien Bardeau,Maryvonne Gerin,Javier R Goicoechea,Pierre Gratier,Viviana V. Guzman,Jouni Kainulainen,François Levrier,Nicolas Peretto,Jérôme Pety,Antoine Roueff,Albrecht Sievers
Estimation of physical conditions in PDRs Bayesian approach with spatial regularization
Multi-line Diagnostics of the Interstellar Medium, Apr 2022, Nice, France.
Pierre Palud,Franck Le Petit,Pierre Chainais,Emeric E. Bron,Pierre-Antoine Thouvenin
Mélange de bruits et échantillonnage de posterior non log-concave
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Association GRETSI : Groupe de Recherche et d'Etudes de Traitement du Signal et des Images, Sep 2022, Nancy, France
Pierre Palud,Pierre Chainais,Franck Le Petit,Emeric Bron,Pierre-Antoine Thouvenin,Maxime Vono,Lucas Einig,Miriam Garcia Santa-Maria,Mathilde Gaudel,Jan Orkisz,Victor de Souza Magalhaes,Sébastien Bardeau,Maryvonne Gerin,Javier R Goicoechea,Pierre Gratier,Viviana V. Guzman,Jouni Kainulainen,François Levrier,Nicolas Peretto,Jérôme Pety,Antoine Roueff,Albrecht Sievers
Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids
Astronomy & Astrophysics - A&A, 2021, 645, pp.A28. ⟨10.1051/0004-6361/202038040⟩
Emeric E. Bron,Evelyne Roueff,Maryvonne Gerin,Jérôme Pety,Pierre Gratier,Franck Le Petit,Viviana Guzman,Jan H. Orkisz,Victor de Souza Magalhaes,Mathilde Gaudel,Maxime Vono,Sébastien Bardeau,Pierre Chainais,Javier R. Goicoechea,Annie Hughes,Jouni Kainulainen,David Languignon,Jacques Le Bourlot,François Levrier,Harvey Liszt,Karin Öberg,Nicolas Peretto,Antoine Roueff,Albrecht Sievers
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
Journal of Computational and Graphical Statistics, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Kernel interpolation with continuous volume sampling
ICML 2020 - International Conference on Machine Learning, 2020, Vienna, Austria
Ayoub Belhadji,R. Bardenet,Pierre Chainais
A determinantal point process for column subset selection
Journal of Machine Learning Research, 2020, 21 (197), pp.1-62
Ayoub Belhadji,R. Bardenet,Pierre Chainais
On the zeros of the spectrogram of white noise
Applied and Computational Harmonic Analysis, 2020, 48 (2), pp.682-705. ⟨10.1016/j.acha.2018.09.002⟩
Rémi Bardenet,Julien Flamant,Pierre Chainais
Time-frequency analysis of bivariate signals
Applied and Computational Harmonic Analysis, 2019, 46 (2), pp.351-383. ⟨10.1016/j.acha.2017.05.007⟩
Julien Flamant,Nicolas Le Bihan,Pierre Chainais
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data
WHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Sep 2019, Amsterdam, Netherlands. pp.1-5, ⟨10.1109/WHISPERS.2019.8920859⟩
Maxime Vono,Javier R. Goicoechea,Pierre Gratier,Viviana Guzman,Annie Hughes,Jouni Kainulainen,David Languignon,Jacques Le Bourlot,François Levrier,Harvey Listz,Karin I Öberg,Emeric Bron,Jan Orkisz,Nicolas Peretto,Jerome Pety,Antoine Roueff,Evelyne Roueff,Albrecht Sievers,Victor de Souza Magalhaes,Pascal Tremblin,Pierre Chainais,Franck Le Petit,Sébastien Bardeau,Sébastien Bourguignon,Jocelyn Chanussot,Mathilde Gaudel,Maryvonne Gerin
Split-and-augmented Gibbs sampler - Application to large-scale inference problems
IEEE Transactions on Signal Processing, 2019, 67 (6), pp.1648-1661. ⟨10.1109/TSP.2019.2894825⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), May 2019, Brighton, United Kingdom. pp.5037-5041, ⟨10.1109/ICASSP.2019.8682982⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
A correspondence between zeros of time-frequency transforms and Gaussian analytic functions
13th International Conference on Sampling Theory and Applications, SampTA 2019, Aug 2019, Bordeaux, France
Rémi Bardenet,Pierre Chainais,Julien Flamant,Adrien Hardy
Un processus ponctuel déterminantal pour la sélection d'attributs
GRETSI 2019, Aug 2019, Lille, France
Ayoub Belhadji,Rémi Bardenet,Pierre Chainais
Kernel quadrature with DPPs
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Ayoub Belhadji,R. Bardenet,Pierre Chainais
Bayesian Image Restoration under Poisson Noise and Log-concave Prior
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.1712-1716, ⟨10.1109/ICASSP.2019.8683031⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Reconstruction et caractérisation des polarisations d'une onde gravitationnelle
GRETSI 2019 - XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France
Fangchen Feng,Julien Flamant,Pierre Chainais,Eric Chassande-Mottin,Nicolas Le Bihan
Towards Dictionaries of Optimal Size: A Bayesian Non Parametric Approach
Journal of Signal Processing Systems, 2018, 90 (2), pp.221-232. ⟨10.1007/s11265-016-1154-1⟩
Hong Phuong Dang,Pierre Chainais
Small variance asymptotics and bayesian nonparametrics for dictionary learning
EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1607-1611, ⟨10.23919/EUSIPCO.2018.8553142⟩
Clément Elvira,Hong-Phuong Dang,Pierre Chainais
Linear Filtering of Bivariate Signals Using Quaternions
SSP 2018 - 2018 IEEE Workshop on Statistical Signal Processing, Jun 2018, Fribourg en Brisgau, Germany. pp.154-158, ⟨10.1109/SSP.2018.8450687⟩
Julien Flamant,Pierre Chainais,Nicolas Le Bihan
Non-parametric characterization of gravitational-wave polarizations
EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.2658-2662, ⟨10.23919/EUSIPCO.2018.8552942⟩
Julien Flamant,Pierre Chainais,Eric Chassande-Mottin,Fangchen Feng,Nicolas Le Bihan
De la transformée de Fourier à l'analyse temps-fréquence bivariée
Bulletin de l’Union des Professeurs de classes préparatoires Scientifiques, 2018, pp.1-19
Pierre Chainais
A Complete Framework for Linear Filtering of Bivariate Signals
IEEE Transactions on Signal Processing, 2018, 66 (17), pp.4541-4552. ⟨10.1109/TSP.2018.2855659⟩
Julien Flamant,Pierre Chainais,Nicolas Le Bihan
Spectrogramme de polarisation pour l'analyse des signaux bivariés
GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France
Julien Flamant,Nicolas Le Bihan,Pierre Chainais
Indian Buffet Process Dictionary Learning : algorithms and applications to image processing
International Journal of Approximate Reasoning, 2017
Hong-Phuong Dang,Pierre Chainais
Une formulation bayésienne du codage antiparcimonieux
GRETSI, Sep 2017, Juan-les-Pins, France
Clément Elvira,Pierre Chainais,Nicolas Dobigeon
Learning optimal transport between two empirical distributions with normalizing flows
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep 2022, Grenoble, France. ⟨10.48550/arXiv.2207.01246⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
Mixture of noises and sampling non log-concave distributions
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France.
Pierre Palud,Franck Le Petit,Pierre Chainais,Emeric Bron,Pierre-Antoine Thouvenin
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. ⟨10.48550/arXiv.2207.05468⟩
Florentin Coeurdoux,Nicolas Dobigeon,Pierre Chainais
FAST FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGES : A TUCKER APPROXIMATION APPROACH
2022
Clémence Prévost,Pierre Chainais,Remy Boyer
Mixture of noises and sampling of non-log-concave posterior distributions
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia
Pierre Palud,Pierre Chainais,Franck Le Petit,Emeric Bron,Maxime Vono,Lucas Einig,Miriam Garcia Santa-Maria,Mathilde Gaudel,Jan Orkisz,Victor de Souza Magalhaes,Sébastien Bardeau,Maryvonne Gerin,Javier R Goicoechea,Pierre Gratier,Viviana V. Guzman,Jouni Kainulainen,François Levrier,Nicolas Peretto,Jérôme Pety,Antoine Roueff,Albrecht Sievers
Estimation of physical conditions in PDRs Bayesian approach with spatial regularization
Multi-line Diagnostics of the Interstellar Medium, Apr 2022, Nice, France.
Pierre Palud,Franck Le Petit,Pierre Chainais,Emeric E. Bron,Pierre-Antoine Thouvenin
Mélange de bruits et échantillonnage de posterior non log-concave
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Association GRETSI : Groupe de Recherche et d'Etudes de Traitement du Signal et des Images, Sep 2022, Nancy, France
Pierre Palud,Pierre Chainais,Franck Le Petit,Emeric Bron,Pierre-Antoine Thouvenin,Maxime Vono,Lucas Einig,Miriam Garcia Santa-Maria,Mathilde Gaudel,Jan Orkisz,Victor de Souza Magalhaes,Sébastien Bardeau,Maryvonne Gerin,Javier R Goicoechea,Pierre Gratier,Viviana V. Guzman,Jouni Kainulainen,François Levrier,Nicolas Peretto,Jérôme Pety,Antoine Roueff,Albrecht Sievers
Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids
Astronomy & Astrophysics - A&A, 2021, 645, pp.A28. ⟨10.1051/0004-6361/202038040⟩
Emeric E. Bron,Evelyne Roueff,Maryvonne Gerin,Jérôme Pety,Pierre Gratier,Franck Le Petit,Viviana Guzman,Jan H. Orkisz,Victor de Souza Magalhaes,Mathilde Gaudel,Maxime Vono,Sébastien Bardeau,Pierre Chainais,Javier R. Goicoechea,Annie Hughes,Jouni Kainulainen,David Languignon,Jacques Le Bourlot,François Levrier,Harvey Liszt,Karin Öberg,Nicolas Peretto,Antoine Roueff,Albrecht Sievers
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
Journal of Computational and Graphical Statistics, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Kernel interpolation with continuous volume sampling
ICML 2020 - International Conference on Machine Learning, 2020, Vienna, Austria
Ayoub Belhadji,R. Bardenet,Pierre Chainais
A determinantal point process for column subset selection
Journal of Machine Learning Research, 2020, 21 (197), pp.1-62
Ayoub Belhadji,R. Bardenet,Pierre Chainais
On the zeros of the spectrogram of white noise
Applied and Computational Harmonic Analysis, 2020, 48 (2), pp.682-705. ⟨10.1016/j.acha.2018.09.002⟩
Rémi Bardenet,Julien Flamant,Pierre Chainais
Split-and-augmented Gibbs sampler - Application to large-scale inference problems
IEEE Transactions on Signal Processing, 2019, 67 (6), pp.1648-1661. ⟨10.1109/TSP.2019.2894825⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data
WHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Sep 2019, Amsterdam, Netherlands. pp.1-5, ⟨10.1109/WHISPERS.2019.8920859⟩
Maxime Vono,Javier R. Goicoechea,Pierre Gratier,Viviana Guzman,Annie Hughes,Jouni Kainulainen,David Languignon,Jacques Le Bourlot,François Levrier,Harvey Listz,Karin I Öberg,Emeric Bron,Jan Orkisz,Nicolas Peretto,Jerome Pety,Antoine Roueff,Evelyne Roueff,Albrecht Sievers,Victor de Souza Magalhaes,Pascal Tremblin,Pierre Chainais,Franck Le Petit,Sébastien Bardeau,Sébastien Bourguignon,Jocelyn Chanussot,Mathilde Gaudel,Maryvonne Gerin
Time-frequency analysis of bivariate signals
Applied and Computational Harmonic Analysis, 2019, 46 (2), pp.351-383. ⟨10.1016/j.acha.2017.05.007⟩
Julien Flamant,Nicolas Le Bihan,Pierre Chainais
Efficient Sampling through Variable Splitting-inspired Bayesian Hierarchical Models
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), May 2019, Brighton, United Kingdom. pp.5037-5041, ⟨10.1109/ICASSP.2019.8682982⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
A correspondence between zeros of time-frequency transforms and Gaussian analytic functions
13th International Conference on Sampling Theory and Applications, SampTA 2019, Aug 2019, Bordeaux, France
Rémi Bardenet,Pierre Chainais,Julien Flamant,Adrien Hardy
Un processus ponctuel déterminantal pour la sélection d'attributs
GRETSI 2019, Aug 2019, Lille, France
Ayoub Belhadji,Rémi Bardenet,Pierre Chainais
Kernel quadrature with DPPs
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Ayoub Belhadji,R. Bardenet,Pierre Chainais
Bayesian Image Restoration under Poisson Noise and Log-concave Prior
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.1712-1716, ⟨10.1109/ICASSP.2019.8683031⟩
Maxime Vono,Nicolas Dobigeon,Pierre Chainais
Reconstruction et caractérisation des polarisations d'une onde gravitationnelle
GRETSI 2019 - XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France
Fangchen Feng,Julien Flamant,Pierre Chainais,Eric Chassande-Mottin,Nicolas Le Bihan
Towards Dictionaries of Optimal Size: A Bayesian Non Parametric Approach
Journal of Signal Processing Systems, 2018, 90 (2), pp.221-232. ⟨10.1007/s11265-016-1154-1⟩
Hong Phuong Dang,Pierre Chainais
Small variance asymptotics and bayesian nonparametrics for dictionary learning
EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1607-1611, ⟨10.23919/EUSIPCO.2018.8553142⟩
Clément Elvira,Hong-Phuong Dang,Pierre Chainais
Linear Filtering of Bivariate Signals Using Quaternions
SSP 2018 - 2018 IEEE Workshop on Statistical Signal Processing, Jun 2018, Fribourg en Brisgau, Germany. pp.154-158, ⟨10.1109/SSP.2018.8450687⟩
Julien Flamant,Pierre Chainais,Nicolas Le Bihan
Non-parametric characterization of gravitational-wave polarizations
EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.2658-2662, ⟨10.23919/EUSIPCO.2018.8552942⟩
Julien Flamant,Pierre Chainais,Eric Chassande-Mottin,Fangchen Feng,Nicolas Le Bihan
De la transformée de Fourier à l'analyse temps-fréquence bivariée
Bulletin de l’Union des Professeurs de classes préparatoires Scientifiques, 2018, pp.1-19
Pierre Chainais
A Complete Framework for Linear Filtering of Bivariate Signals
IEEE Transactions on Signal Processing, 2018, 66 (17), pp.4541-4552. ⟨10.1109/TSP.2018.2855659⟩
Julien Flamant,Pierre Chainais,Nicolas Le Bihan
Spectrogramme de polarisation pour l'analyse des signaux bivariés
GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France
Julien Flamant,Nicolas Le Bihan,Pierre Chainais
Indian Buffet Process Dictionary Learning : algorithms and applications to image processing
International Journal of Approximate Reasoning, 2017
Hong-Phuong Dang,Pierre Chainais
Une formulation bayésienne du codage antiparcimonieux
GRETSI, Sep 2017, Juan-les-Pins, France
Clément Elvira,Pierre Chainais,Nicolas Dobigeon
Depuis 2019 : Responsable de mention du Master Data Science
2019-2025 : Délégué Scientifique (Chargé de mission) à l'INS2I / CNRS Sciences informatiques
http://pierrechainais.ec-lille.fr
https://scholar.google.com/citations?user=t4c49ywAAAAJ&hl=fr