Pierre Chainais

Professeur des universités

UMR 9189 - CENTRE DE RECHERCHE EN INFORMATIQUE, SIGNAL ET AUTOMATIQUE DE LILLE

Publications

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Astronomy & Astrophysics - A&A, 2024, 691, pp.A109. <a target=\"_blank\" href=\"https://dx.doi.org/10.1051/0004-6361/202451588\">⟨10.1051/0004-6361/202451588⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04654762v1\">⟨hal-04654762⟩</a>", "title_s":["Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds","Quantifier l'informativité des raies d'émission afin de déduire les conditions physiques au sein des nuages moléculaires géants"], "authFullName_s":["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"], "halId_s":"hal-04654762", "docType_s":"ART", "producedDateY_i":2024 },{ "citationRef_s":"Machine Learning, 2024, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-024-06623-x\">⟨10.1007/s10994-024-06623-x⟩</a>", "citationFull_s":"Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais. Normalizing flow sampling with Langevin dynamics in the latent space. Machine Learning, 2024, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-024-06623-x\">⟨10.1007/s10994-024-06623-x⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04710673v1\">⟨hal-04710673⟩</a>", "title_s":["Normalizing flow sampling with Langevin dynamics in the latent space"], "authFullName_s":["Florentin Coeurdoux","Nicolas Dobigeon","Pierre Chainais"], "halId_s":"hal-04710673", "docType_s":"ART", "producedDateY_i":2024 },{ "citationRef_s":"IEEE Transactions on Image Processing, 2024, 33, pp.3496-3507. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TIP.2024.3404338\">⟨10.1109/TIP.2024.3404338⟩</a>", "citationFull_s":"Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais. Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference. IEEE Transactions on Image Processing, 2024, 33, pp.3496-3507. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TIP.2024.3404338\">⟨10.1109/TIP.2024.3404338⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04602765v1\">⟨hal-04602765⟩</a>", "title_s":["Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference"], "authFullName_s":["Florentin Coeurdoux","Nicolas Dobigeon","Pierre Chainais"], "halId_s":"hal-04602765", "docType_s":"ART", "producedDateY_i":2024 },{ "citationRef_s":"2024", "citationFull_s":"Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric E. Bron, Franck Le Petit. Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS). 2024. <a target=\"_blank\" href=\"https://hal.science/hal-04461075v1\">⟨hal-04461075⟩</a>", "title_s":["Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS)"], "authFullName_s":["Pierre Palud","Pierre-Antoine Thouvenin","Pierre Chainais","Emeric E. Bron","Franck Le Petit"], "halId_s":"hal-04461075", "docType_s":"SOFTWARE", "producedDateY_i":2024 },{ "citationRef_s":"2023", "citationFull_s":"Clémence Prévost, Pierre Chainais. HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS. 2023. <a target=\"_blank\" href=\"https://hal.science/hal-04302405v1\">⟨hal-04302405⟩</a>", "title_s":["HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS"], "authFullName_s":["Clémence Prévost","Pierre Chainais"], "halId_s":"hal-04302405", "docType_s":"UNDEFINED", "producedDateY_i":2023 },{ "citationRef_s":"Journal of Computational and Graphical Statistics, 2023, pp.1-35. <a target=\"_blank\" href=\"https://dx.doi.org/10.1080/10618600.2023.2282501\">⟨10.1080/10618600.2023.2282501⟩</a>", "citationFull_s":"Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais. A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. Journal of Computational and Graphical Statistics, 2023, pp.1-35. <a target=\"_blank\" href=\"https://dx.doi.org/10.1080/10618600.2023.2282501\">⟨10.1080/10618600.2023.2282501⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04267086v1\">⟨hal-04267086⟩</a>", "title_s":["A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems"], "authFullName_s":["Pierre-Antoine Thouvenin","Audrey Repetti","Pierre Chainais"], "halId_s":"hal-04267086", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"Astronomy & Astrophysics - A&A, 2023, 679, pp.A4. <a target=\"_blank\" href=\"https://dx.doi.org/10.1051/0004-6361/202346598\">⟨10.1051/0004-6361/202346598⟩</a>", "citationFull_s":"M G Santa-Maria, J R Goicoechea, J Pety, M Gerin, J H Orkisz, et al.. 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. <a target=\"_blank\" href=\"https://dx.doi.org/10.1051/0004-6361/202346598\">⟨10.1051/0004-6361/202346598⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04417167v1\">⟨hal-04417167⟩</a>", "title_s":["HCN emission from translucent gas and UV-illuminated cloud edges revealed by wide-field IRAM 30 m maps of the Orion B GMC"], "authFullName_s":["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"], "halId_s":"hal-04417167", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"Astronomy & Astrophysics - A&A, 2023, 677, pp.A158. <a target=\"_blank\" href=\"https://dx.doi.org/10.1051/0004-6361/202346064\">⟨10.1051/0004-6361/202346064⟩</a>", "citationFull_s":"Lucas Einig, Jérôme Pety, Antoine Roueff, Paul Vandame, Jocelyn Chanussot, et al.. Deep learning denoising by dimension reduction: Application to the ORION-B line cubes. Astronomy & Astrophysics - A&A, 2023, 677, pp.A158. <a target=\"_blank\" href=\"https://dx.doi.org/10.1051/0004-6361/202346064\">⟨10.1051/0004-6361/202346064⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04167877v2\">⟨hal-04167877v2⟩</a>", "title_s":["Deep learning denoising by dimension reduction: Application to the ORION-B line cubes"], "authFullName_s":["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"], "halId_s":"hal-04167877", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"IEEE Signal Processing Magazine, 2023, 40 (6), pp.26-40. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/MSP.2023.3278071\">⟨10.1109/MSP.2023.3278071⟩</a>", "citationFull_s":"Sebastian Miron, Julien Flamant, Nicolas Le Bihan, Pierre Chainais, David Brie. Quaternions in signal and image processing: A comprehensive and objective overview. IEEE Signal Processing Magazine, 2023, 40 (6), pp.26-40. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/MSP.2023.3278071\">⟨10.1109/MSP.2023.3278071⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04199725v1\">⟨hal-04199725⟩</a>", "title_s":["Quaternions in signal and image processing: A comprehensive and objective overview"], "authFullName_s":["Sebastian Miron","Julien Flamant","Nicolas Le Bihan","Pierre Chainais","David Brie"], "halId_s":"hal-04199725", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.173--176", "citationFull_s":"Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais. 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. <a target=\"_blank\" href=\"https://hal.science/hal-04154783v1\">⟨hal-04154783⟩</a>", "title_s":["Méthode MCMC plug-and-play avec a priori génératif profond"], "authFullName_s":["Florentin Coeurdoux","Nicolas Dobigeon","Pierre Chainais"], "halId_s":"hal-04154783", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"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", "citationFull_s":"Lucas Einig, Pierre Palud, Jocelyn Chanussot, Jérôme Pety, Emeric E. Bron, et al.. 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. <a target=\"_blank\" href=\"https://hal.science/hal-04253770v1\">⟨hal-04253770⟩</a>", "title_s":["Réduction d’un modèle astrophysique par réseaux de neurones","Neural network-based emulation of astrophysical models"], "authFullName_s":["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"], "halId_s":"hal-04253770", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"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", "citationFull_s":"Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric E. Bron, Franck Le Petit. 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. <a target=\"_blank\" href=\"https://hal.science/hal-04479586v1\">⟨hal-04479586⟩</a>", "title_s":["Problèmes inverses et test bayésien d'adéquation du modèle"], "authFullName_s":["Pierre Palud","Pierre-Antoine Thouvenin","Pierre Chainais","Emeric E. Bron","Franck Le Petit"], "halId_s":"hal-04479586", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"2023, <a target=\"_blank\" style=\"word-break: break-all;\" href=\"https://archive.softwareheritage.org/browse/swh:1:dir:0911fdbd8e7afd7e58cc02318148455f76e3233d;origin=https://hal.archives-ouvertes.fr/hal-04460733;visit=swh:1:snp:2e030045d796d6ca8ddbc01b2bacb9288d2710fe;anchor=swh:1:rel:942d5e3972252d4fb5127f24838afbeda05099c3;path=/\">⟨swh:1:dir:0911fdbd8e7afd7e58cc02318148455f76e3233d;origin=https://hal.archives-ouvertes.fr/hal-04460733;visit=swh:1:snp:2e030045d796d6ca8ddbc01b2bacb9288d2710fe;anchor=swh:1:rel:942d5e3972252d4fb5127f24838afbeda05099c3;path=/⟩</a>", "citationFull_s":"Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais. dsgs: a Distributed block-Split-Gibbs Sampler (DSGS) with hypergraph structure for high-dimensional inverse problems. 2023, <a target=\"_blank\" style=\"word-break: break-all;\" href=\"https://archive.softwareheritage.org/browse/swh:1:dir:0911fdbd8e7afd7e58cc02318148455f76e3233d;origin=https://hal.archives-ouvertes.fr/hal-04460733;visit=swh:1:snp:2e030045d796d6ca8ddbc01b2bacb9288d2710fe;anchor=swh:1:rel:942d5e3972252d4fb5127f24838afbeda05099c3;path=/\">⟨swh:1:dir:0911fdbd8e7afd7e58cc02318148455f76e3233d;origin=https://hal.archives-ouvertes.fr/hal-04460733;visit=swh:1:snp:2e030045d796d6ca8ddbc01b2bacb9288d2710fe;anchor=swh:1:rel:942d5e3972252d4fb5127f24838afbeda05099c3;path=/⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04460733v1\">⟨hal-04460733⟩</a>", "title_s":["dsgs: a Distributed block-Split-Gibbs Sampler (DSGS) with hypergraph structure for high-dimensional inverse problems"], "authFullName_s":["Pierre-Antoine Thouvenin","Audrey Repetti","Pierre Chainais"], "halId_s":"hal-04460733", "docType_s":"SOFTWARE", "producedDateY_i":2023 },{ "citationRef_s":"IEEE Transactions on Signal Processing, 2023, 71, pp.2491-2501. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TSP.2023.3289728\">⟨10.1109/TSP.2023.3289728⟩</a>", "citationFull_s":"Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric Bron, Franck Le Petit. Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises. IEEE Transactions on Signal Processing, 2023, 71, pp.2491-2501. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TSP.2023.3289728\">⟨10.1109/TSP.2023.3289728⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04264362v1\">⟨hal-04264362⟩</a>", "title_s":["Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises"], "authFullName_s":["Pierre Palud","Pierre-Antoine Thouvenin","Pierre Chainais","Emeric Bron","Franck Le Petit"], "halId_s":"hal-04264362", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2207.05468\">⟨10.48550/arXiv.2207.05468⟩</a>", "citationFull_s":"Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais. Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. 30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2207.05468\">⟨10.48550/arXiv.2207.05468⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03720995v1\">⟨hal-03720995⟩</a>", "title_s":["Sliced-Wasserstein normalizing flows: beyond maximum likelihood training"], "authFullName_s":["Florentin Coeurdoux","Nicolas Dobigeon","Pierre Chainais"], "halId_s":"hal-03720995", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep 2022, Grenoble, France. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2207.01246\">⟨10.48550/arXiv.2207.01246⟩</a>", "citationFull_s":"Florentin Coeurdoux, Nicolas Dobigeon, 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. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2207.01246\">⟨10.48550/arXiv.2207.01246⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03713840v1\">⟨hal-03713840⟩</a>", "title_s":["Learning optimal transport between two empirical distributions with normalizing flows"], "authFullName_s":["Florentin Coeurdoux","Nicolas Dobigeon","Pierre Chainais"], "halId_s":"hal-03713840", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"XXIXième Colloque GRETSI, Sep 2022, Nancy, France", "citationFull_s":"Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais. Un algorithme MCMC distribué pour la résolution de problèmes inverses de grande dimension. XXIXième Colloque GRETSI, Sep 2022, Nancy, France. <a target=\"_blank\" href=\"https://hal.science/hal-03718793v1\">⟨hal-03718793⟩</a>", "title_s":["Un algorithme MCMC distribué pour la résolution de problèmes inverses de grande dimension"], "authFullName_s":["Pierre-Antoine Thouvenin","Audrey Repetti","Pierre Chainais"], "halId_s":"hal-03718793", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France", "citationFull_s":"Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais. Approximation du transport optimal entre distributions empiriques par flux de normalisation. XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France. <a target=\"_blank\" href=\"https://hal.science/hal-03704666v1\">⟨hal-03704666⟩</a>", "title_s":["Approximation du transport optimal entre distributions empiriques par flux de normalisation"], "authFullName_s":["Florentin Coeurdoux","Nicolas Dobigeon","Pierre Chainais"], "halId_s":"hal-03704666", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"XXVIIIème Colloque Francophone du GRETSI, GRETSI, Sep 2022, Nancy, France. pp.1-4", "citationFull_s":"Juan M Miramont, Rémi Bardenet, Pierre Chainais, François Auger. A public benchmark for denoising and detection methods. XXVIIIème Colloque Francophone du GRETSI, GRETSI, Sep 2022, Nancy, France. pp.1-4. <a target=\"_blank\" href=\"https://hal.science/hal-04102094v1\">⟨hal-04102094⟩</a>", "title_s":["A public benchmark for denoising and detection methods"], "authFullName_s":["Juan M Miramont","Rémi Bardenet","Pierre Chainais","François Auger"], "halId_s":"hal-04102094", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France. <a target=\"_blank\" href=\"http://gretsi.fr/colloque2022/\"></a>", "citationFull_s":"Pierre Palud, Franck Le Petit, Pierre Chainais, Emeric Bron, Pierre-Antoine Thouvenin. 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. <a target=\"_blank\" href=\"http://gretsi.fr/colloque2022/\"></a>. <a target=\"_blank\" href=\"https://hal.science/hal-03952453v1\">⟨hal-03952453⟩</a>", "title_s":["Mixture of noises and sampling non log-concave distributions"], "authFullName_s":["Pierre Palud","Franck Le Petit","Pierre Chainais","Emeric Bron","Pierre-Antoine Thouvenin"], "halId_s":"hal-03952453", "docType_s":"POSTER", "producedDateY_i":2022 },{ "citationRef_s":"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", "citationFull_s":"Pierre Palud, Pierre Chainais, Franck Le Petit, Emeric Bron, Pierre-Antoine Thouvenin, et al.. 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. <a target=\"_blank\" href=\"https://hal.science/hal-03952718v1\">⟨hal-03952718⟩</a>", "title_s":["Mélange de bruits et échantillonnage de posterior non log-concave"], "authFullName_s":["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"], "halId_s":"hal-03952718", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia", "citationFull_s":"Pierre Palud, Pierre Chainais, Franck Le Petit, Emeric Bron, Maxime Vono, et al.. Mixture of noises and sampling of non-log-concave posterior distributions. 2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia. <a target=\"_blank\" href=\"https://hal.science/hal-03953035v1\">⟨hal-03953035⟩</a>", "title_s":["Mixture of noises and sampling of non-log-concave posterior distributions"], "authFullName_s":["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"], "halId_s":"hal-03953035", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"Multi-line Diagnostics of the Interstellar Medium, Apr 2022, Nice, France. <a target=\"_blank\" href=\"https://iram2022nice.sciencesconf.org/\"></a>", "citationFull_s":"Pierre Palud, Franck Le Petit, Pierre Chainais, Emeric E. Bron, Pierre-Antoine Thouvenin. Estimation of physical conditions in PDRs Bayesian approach with spatial regularization. Multi-line Diagnostics of the Interstellar Medium, Apr 2022, Nice, France. <a target=\"_blank\" href=\"https://iram2022nice.sciencesconf.org/\"></a>. <a target=\"_blank\" href=\"https://hal.science/hal-03953044v1\">⟨hal-03953044⟩</a>", "title_s":["Estimation of physical conditions in PDRs Bayesian approach with spatial regularization"], "authFullName_s":["Pierre Palud","Franck Le Petit","Pierre Chainais","Emeric E. 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Solar Physics, 2008, 252 (2), pp.397-408. <a target=\"_blank\" href=\"https://hal.science/hal-00808611v1\">⟨hal-00808611⟩</a>", "title_s":["3D Reconstruction from SECCHI-EUVI Images Using an Optical-Flow Algorithm: Method Description and Observation of an Erupting Filament"], "authFullName_s":["Samuel Gissot","Jean-François Hochedez","Pierre Chainais","Jean-Pierre Antoine"], "halId_s":"hal-00808611", "docType_s":"ART", "producedDateY_i":2008 },{ "citationRef_s":"Annales Geophysicae, 2008, 26 (10), pp.3169-3184", "citationFull_s":"Véronique Delouille, Pierre Chainais, Jean-François Hochedez. Quantifying and containing the curse of high resolution coronal imaging. 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Proceedings of SPIE Wavelet XII, Date-Added = 2008-12-16 11:03:51 +0100, Date-Modified = 2008-12-16 11:05:15 +0100, Aug 2007, San Diego, United States. <a target=\"_blank\" href=\"https://hal.science/hal-00707640v1\">⟨hal-00707640⟩</a>", "title_s":["Modeling images of the Quiet Sun in the extreme ultraviolet"], "authFullName_s":["Pierre Chainais","Véronique Delouille","Jean-François Hochedez"], "halId_s":"hal-00707640", "docType_s":"COMM", "producedDateY_i":2007 },{ "citationRef_s":"The European Physical Journal B: Condensed Matter and Complex Systems, 2007, 58 (2), pp.149-158. <a target=\"_blank\" href=\"https://dx.doi.org/10.1140/epjb/e2007-00205-5\">⟨10.1140/epjb/e2007-00205-5⟩</a>", "citationFull_s":"François G Schmitt, Pierre Chainais. On causal stochastic equations for log-stable multiplicative cascades. 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Pierre Chainais

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